mirror of
https://github.com/codeflash-ai/codeflash-agent.git
synced 2026-05-04 18:25:19 +00:00
Add Unstructured report, rewrite statusline, format evals/scripts (#20)
* Add Unstructured engagement report as uv workspace member Three-tier Plotly Dash app (Executive Brief, Engineering Team, Full Detail) with data in JSON, theme constants in theme.py, and Dash production improvements (Google Fonts, clientside callbacks, meta tags). Also: add .playwright-mcp/ to .gitignore, add reports/* ruff overrides, remove tracked .codeflash/observability/read-tracker. * Rewrite statusline to derive context from git state Detects active area from changed files (reports, packages, plugin, .codeflash, case-studies, evals), falls back to branch name convention (perf/*, feat/*, fix/*), shows dirty indicator. Uses whoami for cross-platform user detection. * Add pre-push lint rule to commit guidelines * Exclude .codeflash/ from ruff linting Benchmark and profiling scripts in .codeflash/ are scratch work, not package source. Excluding them prevents CI failures from ad-hoc scripts. * Run ruff format across packages, scripts, evals, and plugin refs * Fix github-app async test failures in CI Add asyncio_mode = "auto" to root pytest config so async tests are detected when running from the repo root via uv run pytest packages/.
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36 changed files with 3426 additions and 1434 deletions
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@ -1,21 +1,67 @@
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#!/usr/bin/env bash
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# Status line: Show active codeflash org/project.
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# Status line: derive context from git state, not just cwd.
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cd "$CLAUDE_PROJECT_DIR" 2>/dev/null || exit 0
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input=$(cat)
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project_dir=$(echo "$input" | jq -r '.workspace.project_dir')
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CF_DIR="$CLAUDE_PROJECT_DIR/.codeflash"
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[ -d "$CF_DIR" ] || exit 0
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user=$(whoami)
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branch=$(git -C "$project_dir" branch --show-current 2>/dev/null)
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# Find the org/project directory (first one found)
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for ORG_DIR in "$CF_DIR"/*/; do
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[ -d "$ORG_DIR" ] || continue
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ORG=$(basename "$ORG_DIR")
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for PROJ_DIR in "$ORG_DIR"/*/; do
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[ -d "$PROJ_DIR" ] || continue
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PROJECT=$(basename "$PROJ_DIR")
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echo "codeflash-agent is working in: $ORG/$PROJECT"
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exit 0
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done
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done
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# Detect active area from recently changed files (staged + unstaged).
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changed=$(git -C "$project_dir" diff --name-only HEAD 2>/dev/null)
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[ -z "$changed" ] && changed=$(git -C "$project_dir" diff --name-only 2>/dev/null)
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[ -z "$changed" ] && changed=$(git -C "$project_dir" diff --name-only --cached 2>/dev/null)
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exit 0
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# Derive area from the most common top-level path in changed files.
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if [ -n "$changed" ]; then
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area=$(echo "$changed" | sed 's|/.*||' | sort | uniq -c | sort -rn | head -1 | awk '{print $2}')
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else
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area=""
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fi
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# Build context from area + changed file patterns.
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context=""
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case "$area" in
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reports)
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target=$(echo "$changed" | grep '^reports/' | sed 's|^reports/||; s|/.*||' | sort -u | head -1)
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[ -n "$target" ] && context="building report: $target" ;;
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packages)
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target=$(echo "$changed" | grep '^packages/' | sed 's|^packages/||; s|/.*||' | sort -u | head -1)
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[ -n "$target" ] && context="developing $target" ;;
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plugin)
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lang=$(echo "$changed" | grep '^plugin/languages/' | sed 's|^plugin/languages/||; s|/.*||' | sort -u | head -1)
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if [ -n "$lang" ]; then
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context="developing plugin: $lang"
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else
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context="developing plugin"
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fi ;;
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.codeflash)
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target=$(echo "$changed" | grep '^\.codeflash/' | sed 's|^\.codeflash/[^/]*/||; s|/.*||' | sort -u | paste -sd/ - | head -1)
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[ -n "$target" ] && context="optimizing $target" ;;
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case-studies)
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target=$(echo "$changed" | grep '^case-studies/' | sed 's|^case-studies/||' | cut -d/ -f1-2 | sort -u | head -1)
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[ -n "$target" ] && context="writing case study: $target" ;;
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evals)
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context="running evals" ;;
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esac
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# If no changed files, fall back to branch name for context.
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if [ -z "$context" ] && [ -n "$branch" ]; then
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case "$branch" in
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perf/*) context="optimizing: ${branch#perf/}" ;;
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feat/*) context="building: ${branch#feat/}" ;;
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fix/*) context="fixing: ${branch#fix/}" ;;
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esac
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fi
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# Dirty indicator.
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dirty=""
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if [ -n "$(git -C "$project_dir" status --porcelain 2>/dev/null)" ]; then
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dirty=" *"
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fi
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# Assemble.
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status="$user | codeflash-agent"
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[ -n "$context" ] && status="$status | $context"
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[ -n "$branch" ] && status="$status | $branch$dirty"
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echo "$status"
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@ -22,6 +22,11 @@ Every commit must be a single, self-contained logical change. Tests must pass at
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- Use the body for *why*, not *what* — the diff shows what changed
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- Reference the pipeline stage or roadmap item when relevant
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## Pre-push
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- Run `prek run --all-files` before pushing to catch lint/format issues CI would flag
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- This catches pre-existing issues in files you didn't touch — CI lints the whole repo, not just your diff
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## Branch Hygiene
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- Delete feature branches locally after merging into main (`git branch -d <branch>`)
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||||
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|
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||||
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||||
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||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
1
.gitignore
vendored
1
.gitignore
vendored
|
|
@ -11,3 +11,4 @@ original_base_research/
|
|||
dist/
|
||||
dist-*/
|
||||
dist-v2/
|
||||
.playwright-mcp/
|
||||
|
|
|
|||
177
evals/score.py
177
evals/score.py
|
|
@ -44,7 +44,11 @@ def _read_single_jsonl(jsonl: Path) -> list[str]:
|
|||
elif block.get("type") == "tool_use":
|
||||
name = block.get("name", "")
|
||||
inp = block.get("input", {})
|
||||
cmd = inp.get("command", "") if isinstance(inp, dict) else ""
|
||||
cmd = (
|
||||
inp.get("command", "")
|
||||
if isinstance(inp, dict)
|
||||
else ""
|
||||
)
|
||||
if cmd:
|
||||
parts.append(f"[{name}] {cmd}")
|
||||
elif name == "Write" and isinstance(inp, dict):
|
||||
|
|
@ -61,8 +65,13 @@ def _read_single_jsonl(jsonl: Path) -> list[str]:
|
|||
parts.append(f"[result] {inner[:2000]}")
|
||||
elif isinstance(inner, list):
|
||||
for item in inner:
|
||||
if isinstance(item, dict) and item.get("type") == "text":
|
||||
parts.append(f"[result] {item['text'][:2000]}")
|
||||
if (
|
||||
isinstance(item, dict)
|
||||
and item.get("type") == "text"
|
||||
):
|
||||
parts.append(
|
||||
f"[result] {item['text'][:2000]}"
|
||||
)
|
||||
elif isinstance(content, str) and content:
|
||||
parts.append(content)
|
||||
|
||||
|
|
@ -178,20 +187,29 @@ def detect_memory_profiler_usage(session_text: str) -> bool:
|
|||
return bool(_MEMORY_PROFILER_PATTERNS.search(session_text))
|
||||
|
||||
|
||||
def count_profiling_runs(session_text: str, profiler_type: str = "memory") -> int:
|
||||
def count_profiling_runs(
|
||||
session_text: str, profiler_type: str = "memory"
|
||||
) -> int:
|
||||
"""Count distinct profiling command invocations in the session.
|
||||
|
||||
Counts both direct bash commands (domain agent style) and profiling
|
||||
script executions (deep agent writes scripts then runs them).
|
||||
"""
|
||||
pattern = _MEMORY_PROFILER_PATTERNS if profiler_type == "memory" else _CPU_PROFILER_PATTERNS
|
||||
pattern = (
|
||||
_MEMORY_PROFILER_PATTERNS
|
||||
if profiler_type == "memory"
|
||||
else _CPU_PROFILER_PATTERNS
|
||||
)
|
||||
count = len(pattern.findall(session_text))
|
||||
# Also count script executions that run profiling scripts
|
||||
# Deep agent writes /tmp/deep_profile.py or similar, then runs it
|
||||
script_runs = len(re.findall(
|
||||
r"\[Bash\]\s.*python[3]?\s+/tmp/\w*prof\w*\.py",
|
||||
session_text, re.IGNORECASE,
|
||||
))
|
||||
script_runs = len(
|
||||
re.findall(
|
||||
r"\[Bash\]\s.*python[3]?\s+/tmp/\w*prof\w*\.py",
|
||||
session_text,
|
||||
re.IGNORECASE,
|
||||
)
|
||||
)
|
||||
return max(count, count + script_runs)
|
||||
|
||||
|
||||
|
|
@ -216,21 +234,26 @@ def detect_ranked_list(session_text: str) -> bool:
|
|||
"""
|
||||
has_profiler = bool(_CPU_PROFILER_PATTERNS.search(session_text))
|
||||
# Look for ranking output — lines with percentages in a list/table context
|
||||
has_ranking = bool(re.search(
|
||||
r"(?:\d+\.?\d*\s*%.*(?:function|target|time|cumtime|tottime|CPU|Mem))|"
|
||||
r"(?:(?:#\d|rank|\d\.\s).*\d+\.?\d*\s*%)|"
|
||||
# Deep agent unified targets table
|
||||
r"\[unified targets\]|"
|
||||
r"(?:CPU\s*%.*Mem.*MiB)",
|
||||
session_text, re.IGNORECASE,
|
||||
))
|
||||
has_ranking = bool(
|
||||
re.search(
|
||||
r"(?:\d+\.?\d*\s*%.*(?:function|target|time|cumtime|tottime|CPU|Mem))|"
|
||||
r"(?:(?:#\d|rank|\d\.\s).*\d+\.?\d*\s*%)|"
|
||||
# Deep agent unified targets table
|
||||
r"\[unified targets\]|"
|
||||
r"(?:CPU\s*%.*Mem.*MiB)",
|
||||
session_text,
|
||||
re.IGNORECASE,
|
||||
)
|
||||
)
|
||||
return has_profiler and has_ranking
|
||||
|
||||
|
||||
# --- LLM scoring ---
|
||||
|
||||
|
||||
def build_scoring_prompt(manifest: dict, conversation: str, variant: str) -> str:
|
||||
def build_scoring_prompt(
|
||||
manifest: dict, conversation: str, variant: str
|
||||
) -> str:
|
||||
"""Build the prompt for LLM-based scoring."""
|
||||
rubric = manifest.get("rubric", {})
|
||||
criteria = rubric.get("criteria") or rubric.get("per_bug", {})
|
||||
|
|
@ -261,7 +284,7 @@ def build_scoring_prompt(manifest: dict, conversation: str, variant: str) -> str
|
|||
return f"""You are scoring an AI agent's performance on a code optimization task.
|
||||
|
||||
## Task Description
|
||||
{manifest.get('description', 'No description')}
|
||||
{manifest.get("description", "No description")}
|
||||
|
||||
## Known Bugs
|
||||
{bugs_desc}
|
||||
|
|
@ -281,7 +304,7 @@ of actual tool use (profiling commands, code edits, test runs).
|
|||
Return ONLY a JSON object with this exact structure:
|
||||
{{
|
||||
"criteria": {{
|
||||
{', '.join(f'"{name}": <0-{pts}>' for name, pts in criteria.items())}
|
||||
{", ".join(f'"{name}": <0-{pts}>' for name, pts in criteria.items())}
|
||||
}},
|
||||
"notes": "<brief explanation of key scoring decisions>"
|
||||
}}"""
|
||||
|
|
@ -291,9 +314,13 @@ def llm_score(prompt: str) -> dict:
|
|||
"""Call Claude to score, return parsed JSON."""
|
||||
result = subprocess.run(
|
||||
[
|
||||
"claude", "-p", prompt,
|
||||
"--output-format", "json",
|
||||
"--model", "sonnet",
|
||||
"claude",
|
||||
"-p",
|
||||
prompt,
|
||||
"--output-format",
|
||||
"json",
|
||||
"--model",
|
||||
"sonnet",
|
||||
],
|
||||
capture_output=True,
|
||||
text=True,
|
||||
|
|
@ -311,7 +338,9 @@ def llm_score(prompt: str) -> dict:
|
|||
# The result might be a JSON string
|
||||
if isinstance(inner, str):
|
||||
# Extract JSON from markdown code blocks if present
|
||||
json_match = re.search(r"```(?:json)?\s*(\{.*?\})\s*```", inner, re.DOTALL)
|
||||
json_match = re.search(
|
||||
r"```(?:json)?\s*(\{.*?\})\s*```", inner, re.DOTALL
|
||||
)
|
||||
if json_match:
|
||||
return json.loads(json_match.group(1))
|
||||
# Try parsing directly
|
||||
|
|
@ -319,7 +348,11 @@ def llm_score(prompt: str) -> dict:
|
|||
return json.loads(inner)
|
||||
except json.JSONDecodeError:
|
||||
# Find JSON object in the text
|
||||
brace_match = re.search(r"\{[^{}]*\"criteria\"[^{}]*\{[^{}]*\}[^{}]*\}", inner, re.DOTALL)
|
||||
brace_match = re.search(
|
||||
r"\{[^{}]*\"criteria\"[^{}]*\{[^{}]*\}[^{}]*\}",
|
||||
inner,
|
||||
re.DOTALL,
|
||||
)
|
||||
if brace_match:
|
||||
return json.loads(brace_match.group(0))
|
||||
elif isinstance(inner, dict):
|
||||
|
|
@ -327,7 +360,10 @@ def llm_score(prompt: str) -> dict:
|
|||
except json.JSONDecodeError:
|
||||
continue
|
||||
|
||||
print(f"WARNING: Could not parse LLM response:\n{output[:500]}", file=sys.stderr)
|
||||
print(
|
||||
f"WARNING: Could not parse LLM response:\n{output[:500]}",
|
||||
file=sys.stderr,
|
||||
)
|
||||
return {}
|
||||
|
||||
|
||||
|
|
@ -360,10 +396,12 @@ def score_variant(variant: str, results_dir: Path, manifest: dict) -> dict:
|
|||
break
|
||||
except (json.JSONDecodeError, TypeError):
|
||||
pass
|
||||
print(f" No session JSONL, using result text ({len(conversation)} chars)")
|
||||
print(
|
||||
f" No session JSONL, using result text ({len(conversation)} chars)"
|
||||
)
|
||||
|
||||
# LLM scoring
|
||||
print(f" Grading with LLM...")
|
||||
print(" Grading with LLM...")
|
||||
prompt = build_scoring_prompt(manifest, conversation, variant)
|
||||
llm_result = llm_score(prompt)
|
||||
scores = llm_result.get("criteria", {})
|
||||
|
|
@ -376,7 +414,9 @@ def score_variant(variant: str, results_dir: Path, manifest: dict) -> dict:
|
|||
|
||||
# Auto-score: tests_pass (deterministic, don't need LLM)
|
||||
if "tests_pass" in criteria:
|
||||
scores["tests_pass"] = criteria["tests_pass"] if check_tests_pass(test_output) else 0
|
||||
scores["tests_pass"] = (
|
||||
criteria["tests_pass"] if check_tests_pass(test_output) else 0
|
||||
)
|
||||
|
||||
# Auto-score: optimization_depth from peak memory thresholds
|
||||
auto_score = rubric.get("auto_score", {})
|
||||
|
|
@ -386,7 +426,9 @@ def score_variant(variant: str, results_dir: Path, manifest: dict) -> dict:
|
|||
for t in auto_score["optimization_depth"].get("thresholds", []):
|
||||
if peak <= t["max_mb"]:
|
||||
scores["optimization_depth"] = t["points"]
|
||||
llm_notes += f" | optimization_depth: {peak:.1f}MB → {t['label']}"
|
||||
llm_notes += (
|
||||
f" | optimization_depth: {peak:.1f}MB → {t['label']}"
|
||||
)
|
||||
break
|
||||
|
||||
# Auto-score: used_memory_profiler (deterministic — did agent use memray/tracemalloc?)
|
||||
|
|
@ -396,7 +438,9 @@ def score_variant(variant: str, results_dir: Path, manifest: dict) -> dict:
|
|||
llm_notes += " | used_memory_profiler: detected (deterministic)"
|
||||
else:
|
||||
scores["used_memory_profiler"] = 0
|
||||
llm_notes += " | used_memory_profiler: NOT detected (deterministic)"
|
||||
llm_notes += (
|
||||
" | used_memory_profiler: NOT detected (deterministic)"
|
||||
)
|
||||
|
||||
# Auto-score: profiled_iteratively (deterministic — count profiling runs)
|
||||
if "profiled_iteratively" in criteria and conversation:
|
||||
|
|
@ -413,11 +457,15 @@ def score_variant(variant: str, results_dir: Path, manifest: dict) -> dict:
|
|||
# Auto-score: ran_adversarial_review (deterministic — codex adversarial review invoked)
|
||||
if "ran_adversarial_review" in criteria and conversation:
|
||||
if detect_adversarial_review(conversation):
|
||||
scores["ran_adversarial_review"] = criteria["ran_adversarial_review"]
|
||||
scores["ran_adversarial_review"] = criteria[
|
||||
"ran_adversarial_review"
|
||||
]
|
||||
llm_notes += " | ran_adversarial_review: detected (deterministic)"
|
||||
else:
|
||||
scores["ran_adversarial_review"] = 0
|
||||
llm_notes += " | ran_adversarial_review: NOT detected (deterministic)"
|
||||
llm_notes += (
|
||||
" | ran_adversarial_review: NOT detected (deterministic)"
|
||||
)
|
||||
|
||||
# Auto-score: profiled_and_identified (deterministic — any profiler used)
|
||||
if "profiled_and_identified" in criteria and conversation:
|
||||
|
|
@ -425,10 +473,14 @@ def score_variant(variant: str, results_dir: Path, manifest: dict) -> dict:
|
|||
has_mem = detect_memory_profiler_usage(conversation)
|
||||
if has_cpu or has_mem:
|
||||
# Profiler detected — let LLM score the quality (don't override)
|
||||
llm_notes += f" | profiler: detected (cpu={has_cpu}, mem={has_mem})"
|
||||
llm_notes += (
|
||||
f" | profiler: detected (cpu={has_cpu}, mem={has_mem})"
|
||||
)
|
||||
else:
|
||||
scores["profiled_and_identified"] = 0
|
||||
llm_notes += " | profiler: NOT detected (deterministic override to 0)"
|
||||
llm_notes += (
|
||||
" | profiler: NOT detected (deterministic override to 0)"
|
||||
)
|
||||
|
||||
# Fill missing criteria with 0
|
||||
for name in criteria:
|
||||
|
|
@ -468,7 +520,10 @@ def aggregate_runs(parent_dir: Path) -> int:
|
|||
"""Aggregate scores from multiple runs into stats per criterion."""
|
||||
run_dirs = sorted(parent_dir.glob("run-*/"))
|
||||
if not run_dirs:
|
||||
print(f"ERROR: No run-*/ directories found in {parent_dir}", file=sys.stderr)
|
||||
print(
|
||||
f"ERROR: No run-*/ directories found in {parent_dir}",
|
||||
file=sys.stderr,
|
||||
)
|
||||
return 1
|
||||
|
||||
for variant in ("skill", "baseline"):
|
||||
|
|
@ -496,7 +551,9 @@ def aggregate_runs(parent_dir: Path) -> int:
|
|||
"min": min(vals),
|
||||
"max": max(vals),
|
||||
"avg": round(avg, 1),
|
||||
"stddev": round(math.sqrt(sum((v - avg) ** 2 for v in vals) / n), 2),
|
||||
"stddev": round(
|
||||
math.sqrt(sum((v - avg) ** 2 for v in vals) / n), 2
|
||||
),
|
||||
}
|
||||
|
||||
total_avg = sum(totals) / n
|
||||
|
|
@ -508,7 +565,9 @@ def aggregate_runs(parent_dir: Path) -> int:
|
|||
"min": min(totals),
|
||||
"max": max(totals),
|
||||
"avg": round(total_avg, 1),
|
||||
"stddev": round(math.sqrt(sum((v - total_avg) ** 2 for v in totals) / n), 2),
|
||||
"stddev": round(
|
||||
math.sqrt(sum((v - total_avg) ** 2 for v in totals) / n), 2
|
||||
),
|
||||
},
|
||||
"max_possible": max_total,
|
||||
"criteria": criteria_stats,
|
||||
|
|
@ -520,7 +579,9 @@ def aggregate_runs(parent_dir: Path) -> int:
|
|||
agg["flaky_criteria"] = flaky
|
||||
|
||||
# Collect durations
|
||||
durations = [s.get("duration") for s in scores if s.get("duration") is not None]
|
||||
durations = [
|
||||
s.get("duration") for s in scores if s.get("duration") is not None
|
||||
]
|
||||
if durations:
|
||||
agg["duration"] = {
|
||||
"min": min(durations),
|
||||
|
|
@ -533,22 +594,30 @@ def aggregate_runs(parent_dir: Path) -> int:
|
|||
|
||||
# Print summary
|
||||
print(f"=== {variant} aggregate ({n} runs) ===")
|
||||
print(f" Total: {agg['total']['avg']}/{max_total} "
|
||||
f"(range {agg['total']['min']}-{agg['total']['max']}, "
|
||||
f"stddev {agg['total']['stddev']})")
|
||||
print(
|
||||
f" Total: {agg['total']['avg']}/{max_total} "
|
||||
f"(range {agg['total']['min']}-{agg['total']['max']}, "
|
||||
f"stddev {agg['total']['stddev']})"
|
||||
)
|
||||
print()
|
||||
|
||||
for crit, stats in criteria_stats.items():
|
||||
flaky_mark = " *" if stats["stddev"] > 0 else ""
|
||||
print(f" {crit:40s} avg={stats['avg']:4.1f} "
|
||||
f"range=[{stats['min']}-{stats['max']}] "
|
||||
f"stddev={stats['stddev']}{flaky_mark}")
|
||||
print(
|
||||
f" {crit:40s} avg={stats['avg']:4.1f} "
|
||||
f"range=[{stats['min']}-{stats['max']}] "
|
||||
f"stddev={stats['stddev']}{flaky_mark}"
|
||||
)
|
||||
|
||||
if flaky:
|
||||
print(f"\n * flaky criteria (non-zero stddev): {', '.join(flaky)}")
|
||||
print(
|
||||
f"\n * flaky criteria (non-zero stddev): {', '.join(flaky)}"
|
||||
)
|
||||
if agg.get("duration"):
|
||||
d = agg["duration"]
|
||||
print(f"\n Duration: avg={d['avg']}s range=[{d['min']}-{d['max']}s]")
|
||||
print(
|
||||
f"\n Duration: avg={d['avg']}s range=[{d['min']}-{d['max']}s]"
|
||||
)
|
||||
print()
|
||||
|
||||
return 0
|
||||
|
|
@ -588,8 +657,9 @@ def score_single(results_dir: Path) -> int:
|
|||
if result.get("duration"):
|
||||
print(f" Duration: {result['duration']}s")
|
||||
|
||||
rubric_criteria = (manifest.get("rubric", {}).get("criteria") or
|
||||
manifest.get("rubric", {}).get("per_bug", {}))
|
||||
rubric_criteria = manifest.get("rubric", {}).get(
|
||||
"criteria"
|
||||
) or manifest.get("rubric", {}).get("per_bug", {})
|
||||
for criterion, score in result["criteria"].items():
|
||||
max_pts = rubric_criteria.get(criterion, "?")
|
||||
print(f" {criterion}: {score}/{max_pts}")
|
||||
|
|
@ -633,12 +703,17 @@ def score_single(results_dir: Path) -> int:
|
|||
def main():
|
||||
if len(sys.argv) < 2:
|
||||
print("Usage: python3 score.py <results-dir>", file=sys.stderr)
|
||||
print(" python3 score.py aggregate <parent-dir>", file=sys.stderr)
|
||||
print(
|
||||
" python3 score.py aggregate <parent-dir>", file=sys.stderr
|
||||
)
|
||||
return 1
|
||||
|
||||
if sys.argv[1] == "aggregate":
|
||||
if len(sys.argv) < 3:
|
||||
print("Usage: python3 score.py aggregate <parent-dir>", file=sys.stderr)
|
||||
print(
|
||||
"Usage: python3 score.py aggregate <parent-dir>",
|
||||
file=sys.stderr,
|
||||
)
|
||||
return 1
|
||||
return aggregate_runs(Path(sys.argv[2]))
|
||||
|
||||
|
|
|
|||
|
|
@ -1,6 +1,5 @@
|
|||
"""Batch processing module with async interface."""
|
||||
|
||||
import asyncio
|
||||
|
||||
|
||||
async def async_batch_process(items: list[dict]) -> list[dict]:
|
||||
|
|
@ -31,7 +30,9 @@ def _transform(item: dict) -> dict:
|
|||
"""Apply transformation to a single item."""
|
||||
return {
|
||||
"id": item["id"],
|
||||
"data": item["data"].upper() if isinstance(item["data"], str) else item["data"],
|
||||
"data": item["data"].upper()
|
||||
if isinstance(item["data"], str)
|
||||
else item["data"],
|
||||
"priority": item["priority"],
|
||||
"processed": True,
|
||||
}
|
||||
|
|
|
|||
|
|
@ -1,4 +1,3 @@
|
|||
import pytest
|
||||
from log_analyzer.analyzer import analyze_logs
|
||||
|
||||
|
||||
|
|
|
|||
|
|
@ -1,5 +1,5 @@
|
|||
import asyncio
|
||||
import pytest
|
||||
|
||||
from log_analyzer.batch import async_batch_process
|
||||
|
||||
|
||||
|
|
|
|||
|
|
@ -1,5 +1,4 @@
|
|||
import pytest
|
||||
from log_analyzer.streamer import stream_results, aggregate_results
|
||||
from log_analyzer.streamer import aggregate_results, stream_results
|
||||
|
||||
|
||||
def test_stream_basic():
|
||||
|
|
|
|||
|
|
@ -1,12 +1,9 @@
|
|||
"""Event enrichment with async metadata lookup and fingerprinting."""
|
||||
|
||||
import asyncio
|
||||
import hashlib
|
||||
|
||||
|
||||
async def enrich_events(
|
||||
events: list[dict], metadata_db: dict
|
||||
) -> list[dict]:
|
||||
async def enrich_events(events: list[dict], metadata_db: dict) -> list[dict]:
|
||||
"""Enrich events with metadata and compute dedup fingerprints.
|
||||
|
||||
For each event, looks up source metadata from the DB and computes
|
||||
|
|
|
|||
|
|
@ -1,13 +1,11 @@
|
|||
"""Output formatting for aggregated pipeline results."""
|
||||
|
||||
import copy
|
||||
import json
|
||||
import hashlib
|
||||
import json
|
||||
|
||||
|
||||
def format_results(
|
||||
records: list[dict], schema: dict
|
||||
) -> list[str]:
|
||||
def format_results(records: list[dict], schema: dict) -> list[str]:
|
||||
"""Format records according to schema, adding computed fields.
|
||||
|
||||
Each record gets merged with the schema defaults, then enriched with
|
||||
|
|
|
|||
|
|
@ -1,4 +1,3 @@
|
|||
import pytest
|
||||
from pipeline.aggregator import aggregate_by_category
|
||||
|
||||
|
||||
|
|
|
|||
|
|
@ -1,5 +1,5 @@
|
|||
import asyncio
|
||||
import pytest
|
||||
|
||||
from pipeline.enricher import enrich_events
|
||||
|
||||
|
||||
|
|
@ -18,7 +18,10 @@ def test_enrich_basic():
|
|||
def test_enrich_large_batch():
|
||||
"""Production-scale enrichment — this async endpoint is too slow."""
|
||||
sources = [f"source-{i}" for i in range(20)]
|
||||
db = {s: {"region": f"region-{i % 5}", "tier": "pro"} for i, s in enumerate(sources)}
|
||||
db = {
|
||||
s: {"region": f"region-{i % 5}", "tier": "pro"}
|
||||
for i, s in enumerate(sources)
|
||||
}
|
||||
events = []
|
||||
for i in range(30_000):
|
||||
events.append(
|
||||
|
|
|
|||
|
|
@ -1,4 +1,3 @@
|
|||
import pytest
|
||||
from pipeline.formatter import format_results
|
||||
|
||||
|
||||
|
|
|
|||
|
|
@ -1,4 +1,3 @@
|
|||
import pytest
|
||||
from processor.core import process_records
|
||||
|
||||
|
||||
|
|
@ -46,7 +45,10 @@ def test_process_large_batch():
|
|||
"routing": {
|
||||
"queue": "default",
|
||||
"priority_levels": [1, 2, 3, 4, 5],
|
||||
"retry_policy": {"max_retries": 5, "delay_ms": [100, 500, 2000]},
|
||||
"retry_policy": {
|
||||
"max_retries": 5,
|
||||
"delay_ms": [100, 500, 2000],
|
||||
},
|
||||
},
|
||||
},
|
||||
}
|
||||
|
|
|
|||
|
|
@ -6,8 +6,17 @@ from collections import defaultdict
|
|||
class Order:
|
||||
"""A customer order with product, pricing, and shipping info."""
|
||||
|
||||
def __init__(self, id, customer, product, category, quantity, price,
|
||||
shipping_address, metadata):
|
||||
def __init__(
|
||||
self,
|
||||
id,
|
||||
customer,
|
||||
product,
|
||||
category,
|
||||
quantity,
|
||||
price,
|
||||
shipping_address,
|
||||
metadata,
|
||||
):
|
||||
self.id = id
|
||||
self.customer = customer
|
||||
self.product = product
|
||||
|
|
@ -24,16 +33,18 @@ def parse_orders(raw_data):
|
|||
"""Parse raw dicts into Order objects."""
|
||||
orders = []
|
||||
for item in raw_data:
|
||||
orders.append(Order(
|
||||
id=item["id"],
|
||||
customer=item["customer"],
|
||||
product=item["product"],
|
||||
category=item["category"],
|
||||
quantity=item["quantity"],
|
||||
price=item["price"],
|
||||
shipping_address=item["shipping_address"],
|
||||
metadata=item.get("metadata", {}),
|
||||
))
|
||||
orders.append(
|
||||
Order(
|
||||
id=item["id"],
|
||||
customer=item["customer"],
|
||||
product=item["product"],
|
||||
category=item["category"],
|
||||
quantity=item["quantity"],
|
||||
price=item["price"],
|
||||
shipping_address=item["shipping_address"],
|
||||
metadata=item.get("metadata", {}),
|
||||
)
|
||||
)
|
||||
return orders
|
||||
|
||||
|
||||
|
|
@ -96,12 +107,16 @@ def build_fulfillment_plan(orders):
|
|||
f"Details: {json.dumps(order.metadata)}\n"
|
||||
f"{'=' * 50}\n"
|
||||
)
|
||||
plan.append({
|
||||
"order_id": order.id,
|
||||
"label": label,
|
||||
"warehouse": f"WH-{abs(hash(order.shipping_address)) % 5}",
|
||||
"priority": "EXPRESS" if order.final_price > 500 else "STANDARD",
|
||||
})
|
||||
plan.append(
|
||||
{
|
||||
"order_id": order.id,
|
||||
"label": label,
|
||||
"warehouse": f"WH-{abs(hash(order.shipping_address)) % 5}",
|
||||
"priority": "EXPRESS"
|
||||
if order.final_price > 500
|
||||
else "STANDARD",
|
||||
}
|
||||
)
|
||||
return plan
|
||||
|
||||
|
||||
|
|
@ -116,7 +131,9 @@ def generate_summary(orders):
|
|||
summary[cat] = {
|
||||
"count": len(cat_orders),
|
||||
"total_revenue": round(sum(o.final_price for o in cat_orders), 2),
|
||||
"avg_quantity": round(sum(o.quantity for o in cat_orders) / len(cat_orders), 1),
|
||||
"avg_quantity": round(
|
||||
sum(o.quantity for o in cat_orders) / len(cat_orders), 1
|
||||
),
|
||||
}
|
||||
return summary
|
||||
|
||||
|
|
|
|||
|
|
@ -1,18 +1,38 @@
|
|||
import pytest
|
||||
from orders.core import process_orders
|
||||
|
||||
|
||||
def test_basic():
|
||||
raw = [
|
||||
{"id": 1, "customer": "Alice", "product": "Widget", "category": "tools",
|
||||
"quantity": 2, "price": 25.0, "shipping_address": "123 Main St",
|
||||
"metadata": {"payment_method": "credit_card"}},
|
||||
{"id": 2, "customer": "Bob", "product": "Gadget", "category": "tools",
|
||||
"quantity": 1, "price": 50.0, "shipping_address": "456 Oak Ave",
|
||||
"metadata": {"payment_method": "paypal"}},
|
||||
{"id": 3, "customer": "Carol", "product": "Gizmo", "category": "electronics",
|
||||
"quantity": 5, "price": 10.0, "shipping_address": "789 Elm Dr",
|
||||
"metadata": {"payment_method": "debit"}},
|
||||
{
|
||||
"id": 1,
|
||||
"customer": "Alice",
|
||||
"product": "Widget",
|
||||
"category": "tools",
|
||||
"quantity": 2,
|
||||
"price": 25.0,
|
||||
"shipping_address": "123 Main St",
|
||||
"metadata": {"payment_method": "credit_card"},
|
||||
},
|
||||
{
|
||||
"id": 2,
|
||||
"customer": "Bob",
|
||||
"product": "Gadget",
|
||||
"category": "tools",
|
||||
"quantity": 1,
|
||||
"price": 50.0,
|
||||
"shipping_address": "456 Oak Ave",
|
||||
"metadata": {"payment_method": "paypal"},
|
||||
},
|
||||
{
|
||||
"id": 3,
|
||||
"customer": "Carol",
|
||||
"product": "Gizmo",
|
||||
"category": "electronics",
|
||||
"quantity": 5,
|
||||
"price": 10.0,
|
||||
"shipping_address": "789 Elm Dr",
|
||||
"metadata": {"payment_method": "debit"},
|
||||
},
|
||||
]
|
||||
result = process_orders(raw)
|
||||
assert len(result["summary"]) == 2
|
||||
|
|
@ -43,10 +63,19 @@ def test_large_batch():
|
|||
"price": round(10.0 + (i % 500) * 0.5, 2),
|
||||
"shipping_address": f"{100 + i % 999} Main St, City-{i % 50}, ST {10000 + i % 90000}",
|
||||
"metadata": {
|
||||
"payment_method": ["credit_card", "debit", "paypal", "bank_transfer"][i % 4],
|
||||
"order_source": ["web", "mobile", "api", "in_store"][i % 4],
|
||||
"payment_method": [
|
||||
"credit_card",
|
||||
"debit",
|
||||
"paypal",
|
||||
"bank_transfer",
|
||||
][i % 4],
|
||||
"order_source": ["web", "mobile", "api", "in_store"][
|
||||
i % 4
|
||||
],
|
||||
"loyalty_tier": ["bronze", "silver", "gold"][i % 3],
|
||||
"promo_code": f"PROMO-{i % 20:03d}" if i % 5 == 0 else None,
|
||||
"promo_code": f"PROMO-{i % 20:03d}"
|
||||
if i % 5 == 0
|
||||
else None,
|
||||
"gift_wrap": i % 7 == 0,
|
||||
"notes": f"Order note #{i}" if i % 10 == 0 else "",
|
||||
"tracking": {"email": True, "sms": i % 3 == 0},
|
||||
|
|
|
|||
|
|
@ -3,19 +3,20 @@ import json
|
|||
import time
|
||||
from collections import defaultdict
|
||||
|
||||
|
||||
# Processing log — records each operation for debugging and audit trail
|
||||
_processing_log = []
|
||||
|
||||
|
||||
def _log_operation(stage, reading_id, snapshot):
|
||||
"""Append an operation record to the processing log."""
|
||||
_processing_log.append({
|
||||
"stage": stage,
|
||||
"reading_id": reading_id,
|
||||
"timestamp": time.monotonic(),
|
||||
"snapshot": snapshot,
|
||||
})
|
||||
_processing_log.append(
|
||||
{
|
||||
"stage": stage,
|
||||
"reading_id": reading_id,
|
||||
"timestamp": time.monotonic(),
|
||||
"snapshot": snapshot,
|
||||
}
|
||||
)
|
||||
|
||||
|
||||
def _snapshot(reading):
|
||||
|
|
@ -73,8 +74,7 @@ def validate_readings(readings):
|
|||
def calibrate(readings):
|
||||
"""Apply per-sensor-type calibration offsets."""
|
||||
offsets = {
|
||||
f"sensor-{i}": round(0.1 * (i % 5) - 0.2, 2)
|
||||
for i in range(100)
|
||||
f"sensor-{i}": round(0.1 * (i % 5) - 0.2, 2) for i in range(100)
|
||||
}
|
||||
|
||||
calibrated = []
|
||||
|
|
|
|||
|
|
@ -1,15 +1,29 @@
|
|||
import pytest
|
||||
from pipeline.core import process_readings
|
||||
|
||||
|
||||
def test_basic():
|
||||
raw = [
|
||||
{"id": 1, "sensor_type": "temp", "timestamp": "2024-01-01T00:00:00",
|
||||
"value": 22.5, "metadata": {"location": {"lat": 0, "lng": 0}}},
|
||||
{"id": 2, "sensor_type": "temp", "timestamp": "2024-01-01T01:00:00",
|
||||
"value": 23.0, "metadata": {"location": {"lat": 0, "lng": 0}}},
|
||||
{"id": 3, "sensor_type": "humidity", "timestamp": "2024-01-01T00:00:00",
|
||||
"value": 45.0, "metadata": {"location": {"lat": 0, "lng": 0}}},
|
||||
{
|
||||
"id": 1,
|
||||
"sensor_type": "temp",
|
||||
"timestamp": "2024-01-01T00:00:00",
|
||||
"value": 22.5,
|
||||
"metadata": {"location": {"lat": 0, "lng": 0}},
|
||||
},
|
||||
{
|
||||
"id": 2,
|
||||
"sensor_type": "temp",
|
||||
"timestamp": "2024-01-01T01:00:00",
|
||||
"value": 23.0,
|
||||
"metadata": {"location": {"lat": 0, "lng": 0}},
|
||||
},
|
||||
{
|
||||
"id": 3,
|
||||
"sensor_type": "humidity",
|
||||
"timestamp": "2024-01-01T00:00:00",
|
||||
"value": 45.0,
|
||||
"metadata": {"location": {"lat": 0, "lng": 0}},
|
||||
},
|
||||
]
|
||||
result = process_readings(raw)
|
||||
assert len(result) == 2
|
||||
|
|
|
|||
|
|
@ -3,10 +3,20 @@ import json
|
|||
import time
|
||||
from collections import defaultdict
|
||||
|
||||
VALID_CATEGORIES = frozenset({
|
||||
"electronics", "clothing", "food", "home", "sports",
|
||||
"books", "toys", "health", "auto", "garden",
|
||||
})
|
||||
VALID_CATEGORIES = frozenset(
|
||||
{
|
||||
"electronics",
|
||||
"clothing",
|
||||
"food",
|
||||
"home",
|
||||
"sports",
|
||||
"books",
|
||||
"toys",
|
||||
"health",
|
||||
"auto",
|
||||
"garden",
|
||||
}
|
||||
)
|
||||
|
||||
REGIONS = frozenset({"US-EAST", "US-WEST", "EU-NORTH", "EU-SOUTH", "APAC"})
|
||||
|
||||
|
|
@ -19,20 +29,26 @@ REGION_NAMES = {
|
|||
}
|
||||
|
||||
CURRENCIES = {
|
||||
"US-EAST": "USD", "US-WEST": "USD",
|
||||
"EU-NORTH": "EUR", "EU-SOUTH": "EUR",
|
||||
"US-EAST": "USD",
|
||||
"US-WEST": "USD",
|
||||
"EU-NORTH": "EUR",
|
||||
"EU-SOUTH": "EUR",
|
||||
"APAC": "JPY",
|
||||
}
|
||||
|
||||
TAX_RATES = {
|
||||
"US-EAST": 0.08, "US-WEST": 0.075,
|
||||
"EU-NORTH": 0.25, "EU-SOUTH": 0.22,
|
||||
"US-EAST": 0.08,
|
||||
"US-WEST": 0.075,
|
||||
"EU-NORTH": 0.25,
|
||||
"EU-SOUTH": 0.22,
|
||||
"APAC": 0.10,
|
||||
}
|
||||
|
||||
|
||||
class Transaction:
|
||||
def __init__(self, id, amount, category, region, timestamp, customer, metadata):
|
||||
def __init__(
|
||||
self, id, amount, category, region, timestamp, customer, metadata
|
||||
):
|
||||
self.id = id
|
||||
self.amount = amount
|
||||
self.category = category
|
||||
|
|
@ -45,6 +61,7 @@ class Transaction:
|
|||
def generate_transactions(n):
|
||||
"""Generate raw transaction data for testing."""
|
||||
import random
|
||||
|
||||
rng = random.Random(42)
|
||||
|
||||
categories = sorted(VALID_CATEGORIES)
|
||||
|
|
@ -54,19 +71,21 @@ def generate_transactions(n):
|
|||
|
||||
raw = []
|
||||
for i in range(n):
|
||||
raw.append({
|
||||
"id": i,
|
||||
"amount": round(rng.uniform(5.0, 500.0), 2),
|
||||
"category": rng.choice(categories),
|
||||
"region": rng.choice(regions),
|
||||
"timestamp": f"2024-01-{(i % 28) + 1:02d}T{i % 24:02d}:{i % 60:02d}:00Z",
|
||||
"customer": f"customer-{rng.randint(1, 10000):05d}",
|
||||
"metadata": {
|
||||
"channel": rng.choice(channels),
|
||||
"priority": rng.choice(priorities),
|
||||
"tags": [f"tag-{rng.randint(1, 100)}" for _ in range(3)],
|
||||
},
|
||||
})
|
||||
raw.append(
|
||||
{
|
||||
"id": i,
|
||||
"amount": round(rng.uniform(5.0, 500.0), 2),
|
||||
"category": rng.choice(categories),
|
||||
"region": rng.choice(regions),
|
||||
"timestamp": f"2024-01-{(i % 28) + 1:02d}T{i % 24:02d}:{i % 60:02d}:00Z",
|
||||
"customer": f"customer-{rng.randint(1, 10000):05d}",
|
||||
"metadata": {
|
||||
"channel": rng.choice(channels),
|
||||
"priority": rng.choice(priorities),
|
||||
"tags": [f"tag-{rng.randint(1, 100)}" for _ in range(3)],
|
||||
},
|
||||
}
|
||||
)
|
||||
return raw
|
||||
|
||||
|
||||
|
|
@ -74,15 +93,17 @@ def parse_transactions(raw_data):
|
|||
"""Parse raw dicts into Transaction objects."""
|
||||
transactions = []
|
||||
for item in raw_data:
|
||||
transactions.append(Transaction(
|
||||
id=item["id"],
|
||||
amount=item["amount"],
|
||||
category=item["category"],
|
||||
region=item["region"],
|
||||
timestamp=item["timestamp"],
|
||||
customer=item["customer"],
|
||||
metadata=item["metadata"],
|
||||
))
|
||||
transactions.append(
|
||||
Transaction(
|
||||
id=item["id"],
|
||||
amount=item["amount"],
|
||||
category=item["category"],
|
||||
region=item["region"],
|
||||
timestamp=item["timestamp"],
|
||||
customer=item["customer"],
|
||||
metadata=item["metadata"],
|
||||
)
|
||||
)
|
||||
return transactions
|
||||
|
||||
|
||||
|
|
@ -100,38 +121,49 @@ def validate_transactions(transactions):
|
|||
"amount_limit": t.amount < 1_000_000,
|
||||
"category_known": t.category in VALID_CATEGORIES,
|
||||
"region_active": t.region in REGIONS,
|
||||
"customer_format": bool(t.customer) and t.customer.startswith("customer-"),
|
||||
"customer_format": bool(t.customer)
|
||||
and t.customer.startswith("customer-"),
|
||||
"timestamp_present": bool(t.timestamp),
|
||||
"metadata_valid": isinstance(t.metadata, dict) and "channel" in t.metadata,
|
||||
"metadata_valid": isinstance(t.metadata, dict)
|
||||
and "channel" in t.metadata,
|
||||
}
|
||||
|
||||
# Build comprehensive audit snapshot for compliance record
|
||||
audit_snapshot = json.dumps({
|
||||
"transaction_id": t.id,
|
||||
"amount": str(t.amount),
|
||||
"category": t.category,
|
||||
"region": t.region,
|
||||
"customer": t.customer,
|
||||
"timestamp": t.timestamp,
|
||||
"metadata_repr": repr(t.metadata),
|
||||
"field_checks": field_checks,
|
||||
"validation_ts": time.time(),
|
||||
}, sort_keys=True, default=str)
|
||||
audit_snapshot = json.dumps(
|
||||
{
|
||||
"transaction_id": t.id,
|
||||
"amount": str(t.amount),
|
||||
"category": t.category,
|
||||
"region": t.region,
|
||||
"customer": t.customer,
|
||||
"timestamp": t.timestamp,
|
||||
"metadata_repr": repr(t.metadata),
|
||||
"field_checks": field_checks,
|
||||
"validation_ts": time.time(),
|
||||
},
|
||||
sort_keys=True,
|
||||
default=str,
|
||||
)
|
||||
|
||||
# Generate compliance hash chain for audit trail
|
||||
primary_hash = hashlib.sha256(audit_snapshot.encode()).hexdigest()
|
||||
compliance_envelope = json.dumps({
|
||||
"primary_hash": primary_hash,
|
||||
"rules_version": "2024.1.3",
|
||||
"field_checks": field_checks,
|
||||
"chain_input": (
|
||||
f"VALIDATE:{t.id}:{t.amount}:{t.category}"
|
||||
f":{t.region}:{primary_hash[:16]}"
|
||||
),
|
||||
}, sort_keys=True)
|
||||
compliance_envelope = json.dumps(
|
||||
{
|
||||
"primary_hash": primary_hash,
|
||||
"rules_version": "2024.1.3",
|
||||
"field_checks": field_checks,
|
||||
"chain_input": (
|
||||
f"VALIDATE:{t.id}:{t.amount}:{t.category}"
|
||||
f":{t.region}:{primary_hash[:16]}"
|
||||
),
|
||||
},
|
||||
sort_keys=True,
|
||||
)
|
||||
|
||||
# Store ONLY the final compliance hash (not the full audit data)
|
||||
t._compliance_hash = hashlib.sha256(compliance_envelope.encode()).hexdigest()
|
||||
t._compliance_hash = hashlib.sha256(
|
||||
compliance_envelope.encode()
|
||||
).hexdigest()
|
||||
|
||||
if all(field_checks.values()):
|
||||
t.validated = True
|
||||
|
|
@ -221,14 +253,18 @@ def format_report(analytics):
|
|||
lines.append(f" Transactions: {stats['count']:,}")
|
||||
lines.append(f" Revenue: ${stats['revenue']:,.2f}")
|
||||
lines.append(f" Avg Order: ${stats['avg_order']:,.2f}")
|
||||
lines.append(f" Range: ${stats['min_order']:,.2f} — ${stats['max_order']:,.2f}")
|
||||
lines.append(
|
||||
f" Range: ${stats['min_order']:,.2f} — ${stats['max_order']:,.2f}"
|
||||
)
|
||||
lines.append("")
|
||||
|
||||
lines.extend([
|
||||
"=" * 60,
|
||||
f"TOTAL: {total_count:,} transactions, ${total_revenue:,.2f} revenue",
|
||||
"=" * 60,
|
||||
])
|
||||
lines.extend(
|
||||
[
|
||||
"=" * 60,
|
||||
f"TOTAL: {total_count:,} transactions, ${total_revenue:,.2f} revenue",
|
||||
"=" * 60,
|
||||
]
|
||||
)
|
||||
|
||||
return "\n".join(lines)
|
||||
|
||||
|
|
|
|||
|
|
@ -1,15 +1,32 @@
|
|||
import pytest
|
||||
from aggregator.core import process_dataset
|
||||
|
||||
|
||||
def test_basic():
|
||||
raw = [
|
||||
{"id": 1, "category": "web", "source": "s1", "date": "2024-01-01",
|
||||
"value": 10.0, "metadata": {"tags": ["a"], "region": "us"}},
|
||||
{"id": 2, "category": "web", "source": "s2", "date": "2024-01-02",
|
||||
"value": 20.0, "metadata": {"tags": ["b"], "region": "eu"}},
|
||||
{"id": 3, "category": "api", "source": "s1", "date": "2024-01-01",
|
||||
"value": 5.0, "metadata": {"tags": ["a"], "region": "us"}},
|
||||
{
|
||||
"id": 1,
|
||||
"category": "web",
|
||||
"source": "s1",
|
||||
"date": "2024-01-01",
|
||||
"value": 10.0,
|
||||
"metadata": {"tags": ["a"], "region": "us"},
|
||||
},
|
||||
{
|
||||
"id": 2,
|
||||
"category": "web",
|
||||
"source": "s2",
|
||||
"date": "2024-01-02",
|
||||
"value": 20.0,
|
||||
"metadata": {"tags": ["b"], "region": "eu"},
|
||||
},
|
||||
{
|
||||
"id": 3,
|
||||
"category": "api",
|
||||
"source": "s1",
|
||||
"date": "2024-01-01",
|
||||
"value": 5.0,
|
||||
"metadata": {"tags": ["a"], "region": "us"},
|
||||
},
|
||||
]
|
||||
result = process_dataset(raw)
|
||||
assert len(result) == 2
|
||||
|
|
|
|||
|
|
@ -1,10 +1,10 @@
|
|||
"""Analytics pipeline: parse → validate → normalize → deduplicate →
|
||||
enrich → score → rank → filter → format → summarize."""
|
||||
enrich → score → rank → filter → format → summarize."""
|
||||
|
||||
import copy
|
||||
import hashlib
|
||||
import json
|
||||
import re
|
||||
import hashlib
|
||||
|
||||
|
||||
def run_pipeline(records: list[dict], config: dict) -> dict:
|
||||
|
|
@ -208,7 +208,9 @@ def generate_summary(records: list[dict]) -> dict:
|
|||
for other_cat in categories:
|
||||
if other_cat == cat:
|
||||
continue
|
||||
other_records = [r for r in records if r.get("category", "") == other_cat]
|
||||
other_records = [
|
||||
r for r in records if r.get("category", "") == other_cat
|
||||
]
|
||||
other_sources = [r.get("source", "") for r in other_records]
|
||||
shared = 0
|
||||
for s in cat_sources:
|
||||
|
|
|
|||
|
|
@ -1,4 +1,3 @@
|
|||
import pytest
|
||||
from analytics.pipeline import run_pipeline
|
||||
|
||||
|
||||
|
|
@ -11,14 +10,45 @@ def test_basic():
|
|||
"defaults": {"priority": 0},
|
||||
}
|
||||
records = [
|
||||
{"id": 1, "value": 10.0, "category": "web", "source": "s1", "tags": []},
|
||||
{"id": 2, "value": 20.0, "category": "web", "source": "s2", "tags": []},
|
||||
{"id": 3, "value": 5.0, "category": "api", "source": "s1", "tags": ["spam"]},
|
||||
{"id": 4, "value": 15.0, "category": "api", "source": "banned", "tags": []},
|
||||
{"value": 1.0, "category": "x", "source": "s1", "tags": []}, # missing id
|
||||
{
|
||||
"id": 1,
|
||||
"value": 10.0,
|
||||
"category": "web",
|
||||
"source": "s1",
|
||||
"tags": [],
|
||||
},
|
||||
{
|
||||
"id": 2,
|
||||
"value": 20.0,
|
||||
"category": "web",
|
||||
"source": "s2",
|
||||
"tags": [],
|
||||
},
|
||||
{
|
||||
"id": 3,
|
||||
"value": 5.0,
|
||||
"category": "api",
|
||||
"source": "s1",
|
||||
"tags": ["spam"],
|
||||
},
|
||||
{
|
||||
"id": 4,
|
||||
"value": 15.0,
|
||||
"category": "api",
|
||||
"source": "banned",
|
||||
"tags": [],
|
||||
},
|
||||
{
|
||||
"value": 1.0,
|
||||
"category": "x",
|
||||
"source": "s1",
|
||||
"tags": [],
|
||||
}, # missing id
|
||||
]
|
||||
result = run_pipeline(records, config)
|
||||
assert len(result["records"]) == 2 # filtered: missing id, blocked source, blocked tag
|
||||
assert (
|
||||
len(result["records"]) == 2
|
||||
) # filtered: missing id, blocked source, blocked tag
|
||||
assert len(result["summary"]) > 0
|
||||
|
||||
|
||||
|
|
|
|||
|
|
@ -40,9 +40,7 @@ def clean_records(records: list[dict]) -> list[dict]:
|
|||
return cleaned
|
||||
|
||||
|
||||
def validate_records(
|
||||
records: list[dict], config: dict
|
||||
) -> list[dict]:
|
||||
def validate_records(records: list[dict], config: dict) -> list[dict]:
|
||||
"""Filter records missing required fields or on the blocklist.
|
||||
|
||||
Uses a list for blocklist lookups to preserve insertion order
|
||||
|
|
|
|||
|
|
@ -1,4 +1,3 @@
|
|||
import pytest
|
||||
from pipeline.core import run_pipeline
|
||||
|
||||
|
||||
|
|
@ -11,7 +10,11 @@ def test_basic():
|
|||
{"id": 1, "value": "hello world", "category": "a", "base_score": 1.0},
|
||||
{"id": 2, "value": "foo", "category": "a", "base_score": 2.0},
|
||||
{"id": 999, "value": "blocked", "category": "b", "base_score": 1.0},
|
||||
{"id": 3, "value": "bar", "category": "b"}, # missing base_score is ok (defaults to 1.0)
|
||||
{
|
||||
"id": 3,
|
||||
"value": "bar",
|
||||
"category": "b",
|
||||
}, # missing base_score is ok (defaults to 1.0)
|
||||
{"value": "no id"}, # missing required field
|
||||
]
|
||||
result = run_pipeline(records, config)
|
||||
|
|
@ -40,5 +43,7 @@ def test_large_batch():
|
|||
}
|
||||
)
|
||||
result = run_pipeline(records, config)
|
||||
assert len(result) == 5_000 # none blocked (IDs 0-4999, blocklist 9000-9099)
|
||||
assert (
|
||||
len(result) == 5_000
|
||||
) # none blocked (IDs 0-4999, blocklist 9000-9099)
|
||||
assert all("score" in r for r in result)
|
||||
|
|
|
|||
|
|
@ -6,15 +6,24 @@
|
|||
# Usage: Adapt the "RUN TARGET HERE" section for your test/benchmark,
|
||||
# then run with: $RUNNER /tmp/deep_profile.py
|
||||
|
||||
import cProfile, tracemalloc, gc, time, pstats, os, sys
|
||||
import cProfile
|
||||
import gc
|
||||
import os
|
||||
import pstats
|
||||
import time
|
||||
import tracemalloc
|
||||
|
||||
# Track GC to quantify allocation→CPU interaction
|
||||
gc_times = []
|
||||
|
||||
|
||||
def gc_callback(phase, info):
|
||||
if phase == 'start':
|
||||
if phase == "start":
|
||||
gc_callback._start = time.perf_counter()
|
||||
elif phase == 'stop':
|
||||
elif phase == "stop":
|
||||
gc_times.append(time.perf_counter() - gc_callback._start)
|
||||
|
||||
|
||||
gc.callbacks.append(gc_callback)
|
||||
|
||||
tracemalloc.start()
|
||||
|
|
@ -25,11 +34,11 @@ profiler.enable()
|
|||
profiler.disable()
|
||||
|
||||
mem_snapshot = tracemalloc.take_snapshot()
|
||||
profiler.dump_stats('/tmp/deep_cpu.prof')
|
||||
profiler.dump_stats("/tmp/deep_cpu.prof")
|
||||
|
||||
# Memory top allocators
|
||||
print("=== MEMORY: Top allocators ===")
|
||||
for stat in mem_snapshot.statistics('lineno')[:15]:
|
||||
for stat in mem_snapshot.statistics("lineno")[:15]:
|
||||
print(stat)
|
||||
|
||||
# GC impact
|
||||
|
|
@ -38,9 +47,9 @@ print(f"\n=== GC: {len(gc_times)} collections, {total_gc:.3f}s total ===")
|
|||
|
||||
# CPU top functions (project-only)
|
||||
print("\n=== CPU: Top project functions ===")
|
||||
p = pstats.Stats('/tmp/deep_cpu.prof')
|
||||
p = pstats.Stats("/tmp/deep_cpu.prof")
|
||||
stats = p.stats
|
||||
src = os.path.abspath('src') # adjust to project source root
|
||||
src = os.path.abspath("src") # adjust to project source root
|
||||
project_funcs = []
|
||||
for (file, line, name), (cc, nc, tt, ct, callers) in stats.items():
|
||||
if not os.path.abspath(file).startswith(src):
|
||||
|
|
@ -48,8 +57,8 @@ for (file, line, name), (cc, nc, tt, ct, callers) in stats.items():
|
|||
project_funcs.append((ct, tt, name, file, line))
|
||||
project_funcs.sort(reverse=True)
|
||||
total = project_funcs[0][0] if project_funcs else 1
|
||||
if not os.path.exists('/tmp/deep_baseline_total'):
|
||||
with open('/tmp/deep_baseline_total', 'w') as f:
|
||||
if not os.path.exists("/tmp/deep_baseline_total"):
|
||||
with open("/tmp/deep_baseline_total", "w") as f:
|
||||
f.write(str(total))
|
||||
for ct, tt, name, file, line in project_funcs[:15]:
|
||||
pct = ct / total * 100
|
||||
|
|
|
|||
|
|
@ -4,7 +4,7 @@ version = "0.1.0"
|
|||
requires-python = ">=3.9"
|
||||
|
||||
[tool.uv.workspace]
|
||||
members = ["packages/*"]
|
||||
members = ["packages/*", "reports/*"]
|
||||
|
||||
[dependency-groups]
|
||||
dev = [
|
||||
|
|
@ -50,6 +50,7 @@ src = [
|
|||
"packages/github-app",
|
||||
]
|
||||
extend-exclude = [
|
||||
".codeflash/",
|
||||
"packages/codeflash-python/tests/code_to_optimize",
|
||||
"packages/codeflash-python/src/codeflash_python/ai/_tabulate.py",
|
||||
]
|
||||
|
|
@ -234,6 +235,17 @@ ignore = [
|
|||
"W", # whitespace issues in test data strings
|
||||
]
|
||||
|
||||
"reports/*" = [
|
||||
"C901", # complex layout builders are expected in Dash apps
|
||||
"E501", # long strings in inline HTML
|
||||
"ERA001", # section separator comments
|
||||
"PERF403", # dict comprehension not clearer here
|
||||
"PLR0913", # helper functions with many style params
|
||||
"PLR0915", # long layout functions are expected in Dash
|
||||
"PLR2004", # magic values in layout (pixel sizes, etc.)
|
||||
"T201", # print for dev server
|
||||
]
|
||||
|
||||
[tool.isort]
|
||||
known_first_party = ["codeflash_python", "codeflash_core"]
|
||||
|
||||
|
|
@ -258,6 +270,7 @@ module = "codeflash_python.testing._instrumentation"
|
|||
ignore_errors = true
|
||||
|
||||
[tool.pytest.ini_options]
|
||||
asyncio_mode = "auto"
|
||||
addopts = [
|
||||
"--strict-markers",
|
||||
"--strict-config",
|
||||
|
|
|
|||
73
reports/unstructured/data.json
Normal file
73
reports/unstructured/data.json
Normal file
|
|
@ -0,0 +1,73 @@
|
|||
{
|
||||
"core_product_base": "https://github.com/Unstructured-IO/core-product/pull",
|
||||
"github_workflows_base": "https://github.com/Unstructured-IO/github-workflows/pull",
|
||||
"mem_before": {
|
||||
"pre_partition_mb": 2619,
|
||||
"post_partition_mb": 3491,
|
||||
"max_alloc_mb": 268,
|
||||
"k8s_gb": 32
|
||||
},
|
||||
"mem_after": {
|
||||
"pre_partition_mb": 499,
|
||||
"post_partition_mb": 1398,
|
||||
"max_alloc_mb": 134,
|
||||
"k8s_gb": 4
|
||||
},
|
||||
"bench_before": {
|
||||
"post_import_mib": 1189,
|
||||
"first_partition_delta_mib": 949,
|
||||
"peak_gb": 1.660,
|
||||
"total_gb": 16.398,
|
||||
"allocs": 5585979,
|
||||
"wall_s": 76.0
|
||||
},
|
||||
"bench_after": {
|
||||
"post_import_mib": 952,
|
||||
"first_partition_delta_mib": 707,
|
||||
"peak_gb": 1.473,
|
||||
"total_gb": 20.239,
|
||||
"allocs": 6210809,
|
||||
"wall_s": 86.0
|
||||
},
|
||||
"latency_opts": [
|
||||
["Pdfium PNG -> BMP render", 89, 890, 2.1, "#1503"],
|
||||
["Pass file path to tesseract", 515, 5148, 12.2, "#1506"]
|
||||
],
|
||||
"ci_before": {
|
||||
"jobs_spawned": 301,
|
||||
"jobs_ran": 193,
|
||||
"billed_min": 205,
|
||||
"wall": "3m 49s",
|
||||
"cost": 1.64
|
||||
},
|
||||
"ci_after": {
|
||||
"jobs_spawned": 33,
|
||||
"jobs_ran": 31,
|
||||
"billed_min": 31,
|
||||
"wall": "1m 05s",
|
||||
"cost": 0.25
|
||||
},
|
||||
"merged_prs": [
|
||||
[1398, "2026-03-27", "Fix: avoid blocking event loop during gzip decompression", "Reliability", "core-product"],
|
||||
[1399, "2026-04-03", "Fix: avoid blocking event loop during PDF validation", "Reliability", "core-product"],
|
||||
[1400, "2026-03-30", "Fix: avoid blocking event loop during CSV response merging", "Reliability", "core-product"],
|
||||
[1441, "2026-04-03", "mem: resize-first preprocessing", "Memory", "core-product"],
|
||||
[1448, "2026-03-24", "mem: free page image before table OCR", "Memory", "core-product"],
|
||||
[1464, "2026-03-27", "refactor: replace lazyproperty with cached_property", "Code quality", "core-product"],
|
||||
[1481, "2026-04-03", "perf: reduce attribute lookups in hot path", "Latency", "core-product"],
|
||||
[1502, "2026-04-14", "perf: CPU-aware serial OCR (sched_getaffinity)", "Memory", "core-product"],
|
||||
[1506, "2026-04-13", "perf: pass file path directly to tesseract", "Latency", "core-product"],
|
||||
[1507, "2026-04-14", "perf: use jemalloc to reduce fragmentation", "Memory", "core-product"],
|
||||
[360, "2026-04-10", "Add uv workspace support via optional package input", "CI/CD", "github-workflows"],
|
||||
[361, "2026-04-11", "Skip pip.conf in uv workspace mode", "CI/CD", "github-workflows"]
|
||||
],
|
||||
"open_prs": [
|
||||
[1471, "Async OCR pipeline via aiopytesseract", "Latency", "core-product"],
|
||||
[1500, "Stacked optimizations for hi_res PDF pipeline", "Memory + Latency", "core-product"],
|
||||
[1503, "Render PDF pages as BMP instead of PNG", "Latency", "core-product"],
|
||||
[1505, "Pass image file path directly to tesseract OCR", "Latency", "core-product"],
|
||||
[1509, "Use BMP instead of PNG for pytesseract temp files", "Latency", "core-product"],
|
||||
[667, "POC: uv workspace for platform-libs (28 packages)", "CI/CD", "platform-libs"],
|
||||
[669, "CI baseline measurement (do not merge)", "CI/CD", "platform-libs"]
|
||||
]
|
||||
}
|
||||
2406
reports/unstructured/engagement_report.py
Normal file
2406
reports/unstructured/engagement_report.py
Normal file
File diff suppressed because it is too large
Load diff
8
reports/unstructured/pyproject.toml
Normal file
8
reports/unstructured/pyproject.toml
Normal file
|
|
@ -0,0 +1,8 @@
|
|||
[project]
|
||||
name = "unstructured-report"
|
||||
version = "0.1.0"
|
||||
requires-python = ">=3.12"
|
||||
dependencies = [
|
||||
"dash>=4.1",
|
||||
"plotly>=6.7",
|
||||
]
|
||||
59
reports/unstructured/theme.py
Normal file
59
reports/unstructured/theme.py
Normal file
|
|
@ -0,0 +1,59 @@
|
|||
"""Theme and styling constants for the Unstructured x Codeflash engagement report."""
|
||||
|
||||
# ── Colors (Codeflash dark - amber/zinc) ────────────────────────────────────
|
||||
ACCENT = "#ffd227"
|
||||
DARK = "#09090b"
|
||||
CARD_BG = "#18181b"
|
||||
CARD_BORDER = "#27272a"
|
||||
SLATE = "#e4e4e7"
|
||||
GRAY = "#a1a1aa"
|
||||
LIGHT_GRAY = "#71717a"
|
||||
BG = "#09090b"
|
||||
WHITE = "#fafafa"
|
||||
GREEN = "#4ade80"
|
||||
LIGHT_GREEN = "rgba(74,222,128,0.12)"
|
||||
RED = "#f87171"
|
||||
LIGHT_RED = "rgba(248,113,113,0.12)"
|
||||
AMBER = "#fbbf24"
|
||||
BLUE = "#60a5fa"
|
||||
PURPLE = "#a78bfa"
|
||||
PINK = "#f472b6"
|
||||
|
||||
# ── Component styles ────────────────────────────────────────────────────────
|
||||
CARD = {
|
||||
"background": CARD_BG,
|
||||
"borderRadius": "12px",
|
||||
"padding": "28px 32px",
|
||||
"border": f"1px solid {CARD_BORDER}",
|
||||
}
|
||||
FONT = "'Inter', system-ui, -apple-system, sans-serif"
|
||||
MONO = "'JetBrains Mono', 'Menlo', monospace"
|
||||
|
||||
# ── Table styles ────────────────────────────────────────────────────────────
|
||||
TABLE_STYLE = {
|
||||
"style_header": {
|
||||
"backgroundColor": "#0f0f12",
|
||||
"color": ACCENT,
|
||||
"fontWeight": "600",
|
||||
"fontSize": "13px",
|
||||
"padding": "12px 16px",
|
||||
"borderBottom": f"1px solid {CARD_BORDER}",
|
||||
},
|
||||
"style_cell": {
|
||||
"textAlign": "left",
|
||||
"padding": "12px 16px",
|
||||
"fontSize": "13px",
|
||||
"fontFamily": FONT,
|
||||
"border": "none",
|
||||
"color": SLATE,
|
||||
},
|
||||
"style_data": {"backgroundColor": CARD_BG, "color": SLATE},
|
||||
"style_data_conditional": [
|
||||
{"if": {"row_index": "odd"}, "backgroundColor": "#1f1f23"}
|
||||
],
|
||||
"style_table": {
|
||||
"borderRadius": "12px",
|
||||
"overflow": "hidden",
|
||||
"border": f"1px solid {CARD_BORDER}",
|
||||
},
|
||||
}
|
||||
|
|
@ -31,14 +31,14 @@ import re
|
|||
import statistics
|
||||
import subprocess
|
||||
from collections import Counter, defaultdict
|
||||
from collections.abc import Iterable
|
||||
from dataclasses import asdict, dataclass, field
|
||||
from datetime import datetime, timezone
|
||||
from functools import lru_cache
|
||||
from pathlib import Path
|
||||
from typing import Any, Iterable
|
||||
from typing import Any
|
||||
from uuid import UUID
|
||||
|
||||
|
||||
EXTENSION_TO_LANGUAGE: dict[str, str] = {
|
||||
".ts": "TypeScript",
|
||||
".tsx": "TypeScript",
|
||||
|
|
@ -142,150 +142,150 @@ AGENT_TOOL_NAMES = {"Agent", "Task"}
|
|||
|
||||
GOAL_PATTERNS: dict[str, list[re.Pattern[str]]] = {
|
||||
"debug_investigate": [
|
||||
re.compile(r"\bdebug\b", re.I),
|
||||
re.compile(r"\binvestigat", re.I),
|
||||
re.compile(r"\btrace\b", re.I),
|
||||
re.compile(r"\bwhy\b", re.I),
|
||||
re.compile(r"\berror\b", re.I),
|
||||
re.compile(r"\bissue\b", re.I),
|
||||
re.compile(r"\bdebug\b", re.IGNORECASE),
|
||||
re.compile(r"\binvestigat", re.IGNORECASE),
|
||||
re.compile(r"\btrace\b", re.IGNORECASE),
|
||||
re.compile(r"\bwhy\b", re.IGNORECASE),
|
||||
re.compile(r"\berror\b", re.IGNORECASE),
|
||||
re.compile(r"\bissue\b", re.IGNORECASE),
|
||||
],
|
||||
"implement_feature": [
|
||||
re.compile(r"\bimplement\b", re.I),
|
||||
re.compile(r"\bbuild\b", re.I),
|
||||
re.compile(r"\bfeature\b", re.I),
|
||||
re.compile(r"\badd\b", re.I),
|
||||
re.compile(r"\bcreate\b", re.I),
|
||||
re.compile(r"\bimplement\b", re.IGNORECASE),
|
||||
re.compile(r"\bbuild\b", re.IGNORECASE),
|
||||
re.compile(r"\bfeature\b", re.IGNORECASE),
|
||||
re.compile(r"\badd\b", re.IGNORECASE),
|
||||
re.compile(r"\bcreate\b", re.IGNORECASE),
|
||||
],
|
||||
"fix_bug": [
|
||||
re.compile(r"\bfix\b", re.I),
|
||||
re.compile(r"\bbug\b", re.I),
|
||||
re.compile(r"\bbroken\b", re.I),
|
||||
re.compile(r"\bfailing\b", re.I),
|
||||
re.compile(r"\bfix\b", re.IGNORECASE),
|
||||
re.compile(r"\bbug\b", re.IGNORECASE),
|
||||
re.compile(r"\bbroken\b", re.IGNORECASE),
|
||||
re.compile(r"\bfailing\b", re.IGNORECASE),
|
||||
],
|
||||
"write_script_tool": [
|
||||
re.compile(r"\bscript\b", re.I),
|
||||
re.compile(r"\bcli\b", re.I),
|
||||
re.compile(r"\btool\b", re.I),
|
||||
re.compile(r"\bautomation\b", re.I),
|
||||
re.compile(r"\bscript\b", re.IGNORECASE),
|
||||
re.compile(r"\bcli\b", re.IGNORECASE),
|
||||
re.compile(r"\btool\b", re.IGNORECASE),
|
||||
re.compile(r"\bautomation\b", re.IGNORECASE),
|
||||
],
|
||||
"refactor_code": [
|
||||
re.compile(r"\brefactor\b", re.I),
|
||||
re.compile(r"\bcleanup\b", re.I),
|
||||
re.compile(r"\breorgan", re.I),
|
||||
re.compile(r"\bsimplif", re.I),
|
||||
re.compile(r"\brefactor\b", re.IGNORECASE),
|
||||
re.compile(r"\bcleanup\b", re.IGNORECASE),
|
||||
re.compile(r"\breorgan", re.IGNORECASE),
|
||||
re.compile(r"\bsimplif", re.IGNORECASE),
|
||||
],
|
||||
"configure_system": [
|
||||
re.compile(r"\bconfigure\b", re.I),
|
||||
re.compile(r"\bsetup\b", re.I),
|
||||
re.compile(r"\binstall\b", re.I),
|
||||
re.compile(r"\bconfig\b", re.I),
|
||||
re.compile(r"\benv\b", re.I),
|
||||
re.compile(r"\bdocker\b", re.I),
|
||||
re.compile(r"\bci\b", re.I),
|
||||
re.compile(r"\bconfigure\b", re.IGNORECASE),
|
||||
re.compile(r"\bsetup\b", re.IGNORECASE),
|
||||
re.compile(r"\binstall\b", re.IGNORECASE),
|
||||
re.compile(r"\bconfig\b", re.IGNORECASE),
|
||||
re.compile(r"\benv\b", re.IGNORECASE),
|
||||
re.compile(r"\bdocker\b", re.IGNORECASE),
|
||||
re.compile(r"\bci\b", re.IGNORECASE),
|
||||
],
|
||||
"create_pr_commit": [
|
||||
re.compile(r"\bcommit\b", re.I),
|
||||
re.compile(r"\bpull request\b", re.I),
|
||||
re.compile(r"\bpr\b", re.I),
|
||||
re.compile(r"\bmerge\b", re.I),
|
||||
re.compile(r"\bcommit\b", re.IGNORECASE),
|
||||
re.compile(r"\bpull request\b", re.IGNORECASE),
|
||||
re.compile(r"\bpr\b", re.IGNORECASE),
|
||||
re.compile(r"\bmerge\b", re.IGNORECASE),
|
||||
],
|
||||
"analyze_data": [
|
||||
re.compile(r"\banaly[sz]e\b", re.I),
|
||||
re.compile(r"\bmetrics\b", re.I),
|
||||
re.compile(r"\breport\b", re.I),
|
||||
re.compile(r"\bdata\b", re.I),
|
||||
re.compile(r"\banaly[sz]e\b", re.IGNORECASE),
|
||||
re.compile(r"\bmetrics\b", re.IGNORECASE),
|
||||
re.compile(r"\breport\b", re.IGNORECASE),
|
||||
re.compile(r"\bdata\b", re.IGNORECASE),
|
||||
],
|
||||
"understand_codebase": [
|
||||
re.compile(r"\bunderstand\b", re.I),
|
||||
re.compile(r"\bexplain\b", re.I),
|
||||
re.compile(r"\bwalk ?through\b", re.I),
|
||||
re.compile(r"\bhow does\b", re.I),
|
||||
re.compile(r"\bwhere is\b", re.I),
|
||||
re.compile(r"\bunderstand\b", re.IGNORECASE),
|
||||
re.compile(r"\bexplain\b", re.IGNORECASE),
|
||||
re.compile(r"\bwalk ?through\b", re.IGNORECASE),
|
||||
re.compile(r"\bhow does\b", re.IGNORECASE),
|
||||
re.compile(r"\bwhere is\b", re.IGNORECASE),
|
||||
],
|
||||
"write_tests": [
|
||||
re.compile(r"\btests?\b", re.I),
|
||||
re.compile(r"\bpytest\b", re.I),
|
||||
re.compile(r"\bunit test\b", re.I),
|
||||
re.compile(r"\bintegration test\b", re.I),
|
||||
re.compile(r"\btests?\b", re.IGNORECASE),
|
||||
re.compile(r"\bpytest\b", re.IGNORECASE),
|
||||
re.compile(r"\bunit test\b", re.IGNORECASE),
|
||||
re.compile(r"\bintegration test\b", re.IGNORECASE),
|
||||
],
|
||||
"write_docs": [
|
||||
re.compile(r"\breadme\b", re.I),
|
||||
re.compile(r"\bdocs?\b", re.I),
|
||||
re.compile(r"\bdocument", re.I),
|
||||
re.compile(r"\breadme\b", re.IGNORECASE),
|
||||
re.compile(r"\bdocs?\b", re.IGNORECASE),
|
||||
re.compile(r"\bdocument", re.IGNORECASE),
|
||||
],
|
||||
"deploy_infra": [
|
||||
re.compile(r"\bdeploy\b", re.I),
|
||||
re.compile(r"\binfra\b", re.I),
|
||||
re.compile(r"\bterraform\b", re.I),
|
||||
re.compile(r"\bkubernetes\b", re.I),
|
||||
re.compile(r"\bk8s\b", re.I),
|
||||
re.compile(r"\bdeploy\b", re.IGNORECASE),
|
||||
re.compile(r"\binfra\b", re.IGNORECASE),
|
||||
re.compile(r"\bterraform\b", re.IGNORECASE),
|
||||
re.compile(r"\bkubernetes\b", re.IGNORECASE),
|
||||
re.compile(r"\bk8s\b", re.IGNORECASE),
|
||||
],
|
||||
}
|
||||
|
||||
|
||||
REPEATED_INSTRUCTION_PATTERNS = [
|
||||
re.compile(r"\balways\b", re.I),
|
||||
re.compile(r"\bnever\b", re.I),
|
||||
re.compile(r"\bdon't\b", re.I),
|
||||
re.compile(r"\bdo not\b", re.I),
|
||||
re.compile(r"\bplease\b", re.I),
|
||||
re.compile(r"\bmake sure\b", re.I),
|
||||
re.compile(r"\buse\b", re.I),
|
||||
re.compile(r"\brun\b", re.I),
|
||||
re.compile(r"\bavoid\b", re.I),
|
||||
re.compile(r"\balways\b", re.IGNORECASE),
|
||||
re.compile(r"\bnever\b", re.IGNORECASE),
|
||||
re.compile(r"\bdon't\b", re.IGNORECASE),
|
||||
re.compile(r"\bdo not\b", re.IGNORECASE),
|
||||
re.compile(r"\bplease\b", re.IGNORECASE),
|
||||
re.compile(r"\bmake sure\b", re.IGNORECASE),
|
||||
re.compile(r"\buse\b", re.IGNORECASE),
|
||||
re.compile(r"\brun\b", re.IGNORECASE),
|
||||
re.compile(r"\bavoid\b", re.IGNORECASE),
|
||||
]
|
||||
|
||||
|
||||
POSITIVE_STRONG_PATTERNS = [
|
||||
re.compile(r"\bperfect\b", re.I),
|
||||
re.compile(r"\bgreat\b", re.I),
|
||||
re.compile(r"\bawesome\b", re.I),
|
||||
re.compile(r"\bexcellent\b", re.I),
|
||||
re.compile(r"\blove\b", re.I),
|
||||
re.compile(r"\bship it\b", re.I),
|
||||
re.compile(r"\bperfect\b", re.IGNORECASE),
|
||||
re.compile(r"\bgreat\b", re.IGNORECASE),
|
||||
re.compile(r"\bawesome\b", re.IGNORECASE),
|
||||
re.compile(r"\bexcellent\b", re.IGNORECASE),
|
||||
re.compile(r"\blove\b", re.IGNORECASE),
|
||||
re.compile(r"\bship it\b", re.IGNORECASE),
|
||||
]
|
||||
|
||||
|
||||
POSITIVE_MILD_PATTERNS = [
|
||||
re.compile(r"\bthanks\b", re.I),
|
||||
re.compile(r"\bthat works\b", re.I),
|
||||
re.compile(r"\bworks\b", re.I),
|
||||
re.compile(r"\blooks good\b", re.I),
|
||||
re.compile(r"\bsolid\b", re.I),
|
||||
re.compile(r"\bthanks\b", re.IGNORECASE),
|
||||
re.compile(r"\bthat works\b", re.IGNORECASE),
|
||||
re.compile(r"\bworks\b", re.IGNORECASE),
|
||||
re.compile(r"\blooks good\b", re.IGNORECASE),
|
||||
re.compile(r"\bsolid\b", re.IGNORECASE),
|
||||
]
|
||||
|
||||
|
||||
NEGATIVE_STRONG_PATTERNS = [
|
||||
re.compile(r"\bbroken\b", re.I),
|
||||
re.compile(r"\bfrustrat", re.I),
|
||||
re.compile(r"\bgive up\b", re.I),
|
||||
re.compile(r"\buseless\b", re.I),
|
||||
re.compile(r"\bterrible\b", re.I),
|
||||
re.compile(r"\bbroken\b", re.IGNORECASE),
|
||||
re.compile(r"\bfrustrat", re.IGNORECASE),
|
||||
re.compile(r"\bgive up\b", re.IGNORECASE),
|
||||
re.compile(r"\buseless\b", re.IGNORECASE),
|
||||
re.compile(r"\bterrible\b", re.IGNORECASE),
|
||||
]
|
||||
|
||||
|
||||
NEGATIVE_MILD_PATTERNS = [
|
||||
re.compile(r"\bnot right\b", re.I),
|
||||
re.compile(r"\bwrong\b", re.I),
|
||||
re.compile(r"\btry again\b", re.I),
|
||||
re.compile(r"\bstill failing\b", re.I),
|
||||
re.compile(r"\bdoesn't work\b", re.I),
|
||||
re.compile(r"\bdoes not work\b", re.I),
|
||||
re.compile(r"\bproblem\b", re.I),
|
||||
re.compile(r"\bnot right\b", re.IGNORECASE),
|
||||
re.compile(r"\bwrong\b", re.IGNORECASE),
|
||||
re.compile(r"\btry again\b", re.IGNORECASE),
|
||||
re.compile(r"\bstill failing\b", re.IGNORECASE),
|
||||
re.compile(r"\bdoesn't work\b", re.IGNORECASE),
|
||||
re.compile(r"\bdoes not work\b", re.IGNORECASE),
|
||||
re.compile(r"\bproblem\b", re.IGNORECASE),
|
||||
]
|
||||
|
||||
|
||||
CONTINUATION_PATTERNS = [
|
||||
re.compile(r"\bok\b", re.I),
|
||||
re.compile(r"\bokay\b", re.I),
|
||||
re.compile(r"\bnow\b", re.I),
|
||||
re.compile(r"\bnext\b", re.I),
|
||||
re.compile(r"\balso\b", re.I),
|
||||
re.compile(r"\bthen\b", re.I),
|
||||
re.compile(r"\bok\b", re.IGNORECASE),
|
||||
re.compile(r"\bokay\b", re.IGNORECASE),
|
||||
re.compile(r"\bnow\b", re.IGNORECASE),
|
||||
re.compile(r"\bnext\b", re.IGNORECASE),
|
||||
re.compile(r"\balso\b", re.IGNORECASE),
|
||||
re.compile(r"\bthen\b", re.IGNORECASE),
|
||||
]
|
||||
|
||||
|
||||
PROMPT_NOISE_RE = re.compile(r"^\s*<[a-z][^>]*>", re.I)
|
||||
PROMPT_NOISE_RE = re.compile(r"^\s*<[a-z][^>]*>", re.IGNORECASE)
|
||||
|
||||
|
||||
PROJECT_AREA_DESCRIPTIONS = {
|
||||
|
|
@ -407,7 +407,7 @@ class SessionMeta:
|
|||
user_message_timestamps: list[str]
|
||||
|
||||
@classmethod
|
||||
def from_dict(cls, payload: dict[str, Any]) -> "SessionMeta":
|
||||
def from_dict(cls, payload: dict[str, Any]) -> SessionMeta:
|
||||
return cls(**payload)
|
||||
|
||||
|
||||
|
|
@ -427,7 +427,7 @@ class SessionFacets:
|
|||
user_instructions_to_claude: list[str] = field(default_factory=list)
|
||||
|
||||
@classmethod
|
||||
def from_dict(cls, payload: dict[str, Any]) -> "SessionFacets":
|
||||
def from_dict(cls, payload: dict[str, Any]) -> SessionFacets:
|
||||
return cls(**payload)
|
||||
|
||||
|
||||
|
|
@ -2652,9 +2652,9 @@ def generate_time_of_day_chart(hours: list[int]) -> str:
|
|||
"Morning (6-12)": range(6, 12),
|
||||
"Afternoon (12-18)": range(12, 18),
|
||||
"Evening (18-24)": range(18, 24),
|
||||
"Night (0-6)": range(0, 6),
|
||||
"Night (0-6)": range(6),
|
||||
}
|
||||
counts = {label: 0 for label in periods}
|
||||
counts = dict.fromkeys(periods, 0)
|
||||
for hour in hours:
|
||||
for label, hour_range in periods.items():
|
||||
if hour in hour_range:
|
||||
|
|
|
|||
|
|
@ -32,7 +32,6 @@ from functools import lru_cache
|
|||
from pathlib import Path
|
||||
from typing import Any
|
||||
|
||||
|
||||
LABEL_MAP: dict[str, str] = {
|
||||
"debug_investigate": "Debug/Investigate",
|
||||
"implement_feature": "Implement Feature",
|
||||
|
|
@ -66,79 +65,79 @@ LABEL_MAP: dict[str, str] = {
|
|||
|
||||
GOAL_PATTERNS: dict[str, list[re.Pattern[str]]] = {
|
||||
"debug_investigate": [
|
||||
re.compile(r"\bdebug\b", re.I),
|
||||
re.compile(r"\binvestigat", re.I),
|
||||
re.compile(r"\btrace\b", re.I),
|
||||
re.compile(r"\berror\b", re.I),
|
||||
re.compile(r"\bwhy\b", re.I),
|
||||
re.compile(r"\bfail", re.I),
|
||||
re.compile(r"\bdebug\b", re.IGNORECASE),
|
||||
re.compile(r"\binvestigat", re.IGNORECASE),
|
||||
re.compile(r"\btrace\b", re.IGNORECASE),
|
||||
re.compile(r"\berror\b", re.IGNORECASE),
|
||||
re.compile(r"\bwhy\b", re.IGNORECASE),
|
||||
re.compile(r"\bfail", re.IGNORECASE),
|
||||
],
|
||||
"implement_feature": [
|
||||
re.compile(r"\bimplement\b", re.I),
|
||||
re.compile(r"\bbuild\b", re.I),
|
||||
re.compile(r"\bfeature\b", re.I),
|
||||
re.compile(r"\badd\b", re.I),
|
||||
re.compile(r"\bcreate\b", re.I),
|
||||
re.compile(r"\bimplement\b", re.IGNORECASE),
|
||||
re.compile(r"\bbuild\b", re.IGNORECASE),
|
||||
re.compile(r"\bfeature\b", re.IGNORECASE),
|
||||
re.compile(r"\badd\b", re.IGNORECASE),
|
||||
re.compile(r"\bcreate\b", re.IGNORECASE),
|
||||
],
|
||||
"fix_bug": [
|
||||
re.compile(r"\bfix\b", re.I),
|
||||
re.compile(r"\bbug\b", re.I),
|
||||
re.compile(r"\bbroken\b", re.I),
|
||||
re.compile(r"\bfailing\b", re.I),
|
||||
re.compile(r"\bfix\b", re.IGNORECASE),
|
||||
re.compile(r"\bbug\b", re.IGNORECASE),
|
||||
re.compile(r"\bbroken\b", re.IGNORECASE),
|
||||
re.compile(r"\bfailing\b", re.IGNORECASE),
|
||||
],
|
||||
"write_script_tool": [
|
||||
re.compile(r"\bscript\b", re.I),
|
||||
re.compile(r"\bcli\b", re.I),
|
||||
re.compile(r"\btool\b", re.I),
|
||||
re.compile(r"\bautomation\b", re.I),
|
||||
re.compile(r"\bscript\b", re.IGNORECASE),
|
||||
re.compile(r"\bcli\b", re.IGNORECASE),
|
||||
re.compile(r"\btool\b", re.IGNORECASE),
|
||||
re.compile(r"\bautomation\b", re.IGNORECASE),
|
||||
],
|
||||
"refactor_code": [
|
||||
re.compile(r"\brefactor\b", re.I),
|
||||
re.compile(r"\bcleanup\b", re.I),
|
||||
re.compile(r"\breorgan", re.I),
|
||||
re.compile(r"\bsimplif", re.I),
|
||||
re.compile(r"\brefactor\b", re.IGNORECASE),
|
||||
re.compile(r"\bcleanup\b", re.IGNORECASE),
|
||||
re.compile(r"\breorgan", re.IGNORECASE),
|
||||
re.compile(r"\bsimplif", re.IGNORECASE),
|
||||
],
|
||||
"configure_system": [
|
||||
re.compile(r"\bconfigure\b", re.I),
|
||||
re.compile(r"\bsetup\b", re.I),
|
||||
re.compile(r"\binstall\b", re.I),
|
||||
re.compile(r"\bconfig\b", re.I),
|
||||
re.compile(r"\benv\b", re.I),
|
||||
re.compile(r"\bci\b", re.I),
|
||||
re.compile(r"\bconfigure\b", re.IGNORECASE),
|
||||
re.compile(r"\bsetup\b", re.IGNORECASE),
|
||||
re.compile(r"\binstall\b", re.IGNORECASE),
|
||||
re.compile(r"\bconfig\b", re.IGNORECASE),
|
||||
re.compile(r"\benv\b", re.IGNORECASE),
|
||||
re.compile(r"\bci\b", re.IGNORECASE),
|
||||
],
|
||||
"create_pr_commit": [
|
||||
re.compile(r"\bcommit\b", re.I),
|
||||
re.compile(r"\bpull request\b", re.I),
|
||||
re.compile(r"\bpr\b", re.I),
|
||||
re.compile(r"\bmerge\b", re.I),
|
||||
re.compile(r"\bbranch\b", re.I),
|
||||
re.compile(r"\bcommit\b", re.IGNORECASE),
|
||||
re.compile(r"\bpull request\b", re.IGNORECASE),
|
||||
re.compile(r"\bpr\b", re.IGNORECASE),
|
||||
re.compile(r"\bmerge\b", re.IGNORECASE),
|
||||
re.compile(r"\bbranch\b", re.IGNORECASE),
|
||||
],
|
||||
"analyze_data": [
|
||||
re.compile(r"\banaly[sz]e\b", re.I),
|
||||
re.compile(r"\bmetrics\b", re.I),
|
||||
re.compile(r"\breport\b", re.I),
|
||||
re.compile(r"\binsights?\b", re.I),
|
||||
re.compile(r"\bdata\b", re.I),
|
||||
re.compile(r"\banaly[sz]e\b", re.IGNORECASE),
|
||||
re.compile(r"\bmetrics\b", re.IGNORECASE),
|
||||
re.compile(r"\breport\b", re.IGNORECASE),
|
||||
re.compile(r"\binsights?\b", re.IGNORECASE),
|
||||
re.compile(r"\bdata\b", re.IGNORECASE),
|
||||
],
|
||||
"understand_codebase": [
|
||||
re.compile(r"\bunderstand\b", re.I),
|
||||
re.compile(r"\bexplain\b", re.I),
|
||||
re.compile(r"\bwalk ?through\b", re.I),
|
||||
re.compile(r"\bhow does\b", re.I),
|
||||
re.compile(r"\bwhere is\b", re.I),
|
||||
re.compile(r"\bfind\b", re.I),
|
||||
re.compile(r"\bunderstand\b", re.IGNORECASE),
|
||||
re.compile(r"\bexplain\b", re.IGNORECASE),
|
||||
re.compile(r"\bwalk ?through\b", re.IGNORECASE),
|
||||
re.compile(r"\bhow does\b", re.IGNORECASE),
|
||||
re.compile(r"\bwhere is\b", re.IGNORECASE),
|
||||
re.compile(r"\bfind\b", re.IGNORECASE),
|
||||
],
|
||||
"write_tests": [
|
||||
re.compile(r"\btests?\b", re.I),
|
||||
re.compile(r"\bpytest\b", re.I),
|
||||
re.compile(r"\bunit test\b", re.I),
|
||||
re.compile(r"\bintegration test\b", re.I),
|
||||
re.compile(r"\bbenchmark\b", re.I),
|
||||
re.compile(r"\btests?\b", re.IGNORECASE),
|
||||
re.compile(r"\bpytest\b", re.IGNORECASE),
|
||||
re.compile(r"\bunit test\b", re.IGNORECASE),
|
||||
re.compile(r"\bintegration test\b", re.IGNORECASE),
|
||||
re.compile(r"\bbenchmark\b", re.IGNORECASE),
|
||||
],
|
||||
"write_docs": [
|
||||
re.compile(r"\breadme\b", re.I),
|
||||
re.compile(r"\bdocs?\b", re.I),
|
||||
re.compile(r"\bdocument", re.I),
|
||||
re.compile(r"\breadme\b", re.IGNORECASE),
|
||||
re.compile(r"\bdocs?\b", re.IGNORECASE),
|
||||
re.compile(r"\bdocument", re.IGNORECASE),
|
||||
],
|
||||
}
|
||||
|
||||
|
|
@ -163,13 +162,13 @@ SHELL_TOOL_NAMES = {"exec_command", "shell", "shell_command"}
|
|||
|
||||
TEST_COMMAND_RE = re.compile(
|
||||
r"\b(pytest|npm test|pnpm test|yarn test|cargo test|go test|vitest|jest|ruff|mypy|gradle test|mvn test)\b",
|
||||
re.I,
|
||||
re.IGNORECASE,
|
||||
)
|
||||
|
||||
|
||||
GIT_COMMIT_RE = re.compile(r"(^|[;&|]\s*|\s)git\s+commit\b", re.I)
|
||||
GIT_PUSH_RE = re.compile(r"(^|[;&|]\s*|\s)git\s+push\b", re.I)
|
||||
GH_RE = re.compile(r"(^|[;&|]\s*|\s)gh\b", re.I)
|
||||
GIT_COMMIT_RE = re.compile(r"(^|[;&|]\s*|\s)git\s+commit\b", re.IGNORECASE)
|
||||
GIT_PUSH_RE = re.compile(r"(^|[;&|]\s*|\s)git\s+push\b", re.IGNORECASE)
|
||||
GH_RE = re.compile(r"(^|[;&|]\s*|\s)gh\b", re.IGNORECASE)
|
||||
|
||||
|
||||
@dataclass(frozen=True)
|
||||
|
|
|
|||
|
|
@ -33,7 +33,6 @@ from functools import lru_cache
|
|||
from pathlib import Path
|
||||
from typing import Any
|
||||
|
||||
|
||||
LABEL_MAP: dict[str, str] = {
|
||||
"debug_investigate": "Debug/Investigate",
|
||||
"implement_feature": "Implement Feature",
|
||||
|
|
@ -75,91 +74,91 @@ LABEL_MAP: dict[str, str] = {
|
|||
|
||||
GOAL_PATTERNS: dict[str, list[re.Pattern[str]]] = {
|
||||
"debug_investigate": [
|
||||
re.compile(r"\bdebug\b", re.I),
|
||||
re.compile(r"\binvestigat", re.I),
|
||||
re.compile(r"\btrace\b", re.I),
|
||||
re.compile(r"\berror\b", re.I),
|
||||
re.compile(r"\bwhy\b", re.I),
|
||||
re.compile(r"\bfail", re.I),
|
||||
re.compile(r"\bdebug\b", re.IGNORECASE),
|
||||
re.compile(r"\binvestigat", re.IGNORECASE),
|
||||
re.compile(r"\btrace\b", re.IGNORECASE),
|
||||
re.compile(r"\berror\b", re.IGNORECASE),
|
||||
re.compile(r"\bwhy\b", re.IGNORECASE),
|
||||
re.compile(r"\bfail", re.IGNORECASE),
|
||||
],
|
||||
"implement_feature": [
|
||||
re.compile(r"\bimplement\b", re.I),
|
||||
re.compile(r"\bbuild\b", re.I),
|
||||
re.compile(r"\bfeature\b", re.I),
|
||||
re.compile(r"\badd\b", re.I),
|
||||
re.compile(r"\bcreate\b", re.I),
|
||||
re.compile(r"\bimplement\b", re.IGNORECASE),
|
||||
re.compile(r"\bbuild\b", re.IGNORECASE),
|
||||
re.compile(r"\bfeature\b", re.IGNORECASE),
|
||||
re.compile(r"\badd\b", re.IGNORECASE),
|
||||
re.compile(r"\bcreate\b", re.IGNORECASE),
|
||||
],
|
||||
"fix_bug": [
|
||||
re.compile(r"\bfix\b", re.I),
|
||||
re.compile(r"\bbug\b", re.I),
|
||||
re.compile(r"\bbroken\b", re.I),
|
||||
re.compile(r"\bfailing\b", re.I),
|
||||
re.compile(r"\bfix\b", re.IGNORECASE),
|
||||
re.compile(r"\bbug\b", re.IGNORECASE),
|
||||
re.compile(r"\bbroken\b", re.IGNORECASE),
|
||||
re.compile(r"\bfailing\b", re.IGNORECASE),
|
||||
],
|
||||
"write_script_tool": [
|
||||
re.compile(r"\bscript\b", re.I),
|
||||
re.compile(r"\bcli\b", re.I),
|
||||
re.compile(r"\btool\b", re.I),
|
||||
re.compile(r"\bautomation\b", re.I),
|
||||
re.compile(r"\bscript\b", re.IGNORECASE),
|
||||
re.compile(r"\bcli\b", re.IGNORECASE),
|
||||
re.compile(r"\btool\b", re.IGNORECASE),
|
||||
re.compile(r"\bautomation\b", re.IGNORECASE),
|
||||
],
|
||||
"refactor_code": [
|
||||
re.compile(r"\brefactor\b", re.I),
|
||||
re.compile(r"\bcleanup\b", re.I),
|
||||
re.compile(r"\breorgan", re.I),
|
||||
re.compile(r"\bsimplif", re.I),
|
||||
re.compile(r"\brefactor\b", re.IGNORECASE),
|
||||
re.compile(r"\bcleanup\b", re.IGNORECASE),
|
||||
re.compile(r"\breorgan", re.IGNORECASE),
|
||||
re.compile(r"\bsimplif", re.IGNORECASE),
|
||||
],
|
||||
"configure_system": [
|
||||
re.compile(r"\bconfigure\b", re.I),
|
||||
re.compile(r"\bsetup\b", re.I),
|
||||
re.compile(r"\binstall\b", re.I),
|
||||
re.compile(r"\bconfig\b", re.I),
|
||||
re.compile(r"\benv\b", re.I),
|
||||
re.compile(r"\bci\b", re.I),
|
||||
re.compile(r"\bauth\b", re.I),
|
||||
re.compile(r"\blogin\b", re.I),
|
||||
re.compile(r"\bconfigure\b", re.IGNORECASE),
|
||||
re.compile(r"\bsetup\b", re.IGNORECASE),
|
||||
re.compile(r"\binstall\b", re.IGNORECASE),
|
||||
re.compile(r"\bconfig\b", re.IGNORECASE),
|
||||
re.compile(r"\benv\b", re.IGNORECASE),
|
||||
re.compile(r"\bci\b", re.IGNORECASE),
|
||||
re.compile(r"\bauth\b", re.IGNORECASE),
|
||||
re.compile(r"\blogin\b", re.IGNORECASE),
|
||||
],
|
||||
"create_pr_commit": [
|
||||
re.compile(r"\bcommit\b", re.I),
|
||||
re.compile(r"\bpull request\b", re.I),
|
||||
re.compile(r"\bpr\b", re.I),
|
||||
re.compile(r"\bmerge\b", re.I),
|
||||
re.compile(r"\bbranch\b", re.I),
|
||||
re.compile(r"\bcommit\b", re.IGNORECASE),
|
||||
re.compile(r"\bpull request\b", re.IGNORECASE),
|
||||
re.compile(r"\bpr\b", re.IGNORECASE),
|
||||
re.compile(r"\bmerge\b", re.IGNORECASE),
|
||||
re.compile(r"\bbranch\b", re.IGNORECASE),
|
||||
],
|
||||
"analyze_data": [
|
||||
re.compile(r"\banaly[sz]e\b", re.I),
|
||||
re.compile(r"\bmetrics\b", re.I),
|
||||
re.compile(r"\breport\b", re.I),
|
||||
re.compile(r"\binsights?\b", re.I),
|
||||
re.compile(r"\bdata\b", re.I),
|
||||
re.compile(r"\banaly[sz]e\b", re.IGNORECASE),
|
||||
re.compile(r"\bmetrics\b", re.IGNORECASE),
|
||||
re.compile(r"\breport\b", re.IGNORECASE),
|
||||
re.compile(r"\binsights?\b", re.IGNORECASE),
|
||||
re.compile(r"\bdata\b", re.IGNORECASE),
|
||||
],
|
||||
"understand_codebase": [
|
||||
re.compile(r"\bunderstand\b", re.I),
|
||||
re.compile(r"\bexplain\b", re.I),
|
||||
re.compile(r"\bwalk ?through\b", re.I),
|
||||
re.compile(r"\bhow does\b", re.I),
|
||||
re.compile(r"\bwhere is\b", re.I),
|
||||
re.compile(r"\bfind\b", re.I),
|
||||
re.compile(r"\breview\b", re.I),
|
||||
re.compile(r"\bunderstand\b", re.IGNORECASE),
|
||||
re.compile(r"\bexplain\b", re.IGNORECASE),
|
||||
re.compile(r"\bwalk ?through\b", re.IGNORECASE),
|
||||
re.compile(r"\bhow does\b", re.IGNORECASE),
|
||||
re.compile(r"\bwhere is\b", re.IGNORECASE),
|
||||
re.compile(r"\bfind\b", re.IGNORECASE),
|
||||
re.compile(r"\breview\b", re.IGNORECASE),
|
||||
],
|
||||
"write_tests": [
|
||||
re.compile(r"\btests?\b", re.I),
|
||||
re.compile(r"\bpytest\b", re.I),
|
||||
re.compile(r"\bunit test\b", re.I),
|
||||
re.compile(r"\bintegration test\b", re.I),
|
||||
re.compile(r"\bbenchmark\b", re.I),
|
||||
re.compile(r"\btests?\b", re.IGNORECASE),
|
||||
re.compile(r"\bpytest\b", re.IGNORECASE),
|
||||
re.compile(r"\bunit test\b", re.IGNORECASE),
|
||||
re.compile(r"\bintegration test\b", re.IGNORECASE),
|
||||
re.compile(r"\bbenchmark\b", re.IGNORECASE),
|
||||
],
|
||||
"write_docs": [
|
||||
re.compile(r"\breadme\b", re.I),
|
||||
re.compile(r"\bdocs?\b", re.I),
|
||||
re.compile(r"\bdocument", re.I),
|
||||
re.compile(r"\breadme\b", re.IGNORECASE),
|
||||
re.compile(r"\bdocs?\b", re.IGNORECASE),
|
||||
re.compile(r"\bdocument", re.IGNORECASE),
|
||||
],
|
||||
"manage_email": [
|
||||
re.compile(r"\bgmail\b", re.I),
|
||||
re.compile(r"\bemail\b", re.I),
|
||||
re.compile(r"\binbox\b", re.I),
|
||||
re.compile(r"\bunsubscrib", re.I),
|
||||
re.compile(r"\bdeclutter\b", re.I),
|
||||
re.compile(r"\bdraft\b", re.I),
|
||||
re.compile(r"\bdelete\b", re.I),
|
||||
re.compile(r"\bgmail\b", re.IGNORECASE),
|
||||
re.compile(r"\bemail\b", re.IGNORECASE),
|
||||
re.compile(r"\binbox\b", re.IGNORECASE),
|
||||
re.compile(r"\bunsubscrib", re.IGNORECASE),
|
||||
re.compile(r"\bdeclutter\b", re.IGNORECASE),
|
||||
re.compile(r"\bdraft\b", re.IGNORECASE),
|
||||
re.compile(r"\bdelete\b", re.IGNORECASE),
|
||||
],
|
||||
}
|
||||
|
||||
|
|
@ -177,17 +176,17 @@ FRICTION_DESCRIPTIONS: dict[str, str] = {
|
|||
|
||||
GEMINI_GMAIL_PREFIX = "mcp_google-workspace_gmail."
|
||||
WORKSPACE_BOUNDARY_RE = re.compile(
|
||||
r"workspace directories|project temp directory", re.I
|
||||
r"workspace directories|project temp directory", re.IGNORECASE
|
||||
)
|
||||
HASH_DIR_RE = re.compile(r"^[0-9a-f]{64}$")
|
||||
EXIT_CODE_RE = re.compile(r"Exit Code:\s*(-?\d+)")
|
||||
TEST_COMMAND_RE = re.compile(
|
||||
r"\b(pytest|npm test|pnpm test|yarn test|cargo test|go test|vitest|jest|ruff|mypy|gradle test|mvn test)\b",
|
||||
re.I,
|
||||
re.IGNORECASE,
|
||||
)
|
||||
GIT_COMMIT_RE = re.compile(r"(^|[;&|]\s*|\s)git\s+commit\b", re.I)
|
||||
GIT_PUSH_RE = re.compile(r"(^|[;&|]\s*|\s)git\s+push\b", re.I)
|
||||
GH_RE = re.compile(r"(^|[;&|]\s*|\s)gh\b", re.I)
|
||||
GIT_COMMIT_RE = re.compile(r"(^|[;&|]\s*|\s)git\s+commit\b", re.IGNORECASE)
|
||||
GIT_PUSH_RE = re.compile(r"(^|[;&|]\s*|\s)git\s+push\b", re.IGNORECASE)
|
||||
GH_RE = re.compile(r"(^|[;&|]\s*|\s)gh\b", re.IGNORECASE)
|
||||
|
||||
|
||||
@dataclass(frozen=True)
|
||||
|
|
|
|||
|
|
@ -10,7 +10,6 @@ Usage:
|
|||
|
||||
from __future__ import annotations
|
||||
|
||||
import os
|
||||
import subprocess
|
||||
import sys
|
||||
from pathlib import Path
|
||||
|
|
@ -39,7 +38,7 @@ def _write_version(pyproject_path: Path, new_version: str) -> None:
|
|||
|
||||
def _bump_patch(version: str) -> str:
|
||||
"""Bump the patch component: 0.1.0 -> 0.1.1, 0.1.1.dev0 -> 0.1.2."""
|
||||
base = version.split(".dev")[0]
|
||||
base = version.split(".dev", maxsplit=1)[0]
|
||||
parts = base.split(".")
|
||||
parts[-1] = str(int(parts[-1]) + 1)
|
||||
return ".".join(parts)
|
||||
|
|
@ -62,7 +61,14 @@ def _changed_packages() -> list[str]:
|
|||
for pkg in VERSIONED_PACKAGES:
|
||||
pkg_path = f"packages/{pkg}/"
|
||||
result = subprocess.run(
|
||||
["git", "diff", "--name-only", "origin/main..HEAD", "--", pkg_path],
|
||||
[
|
||||
"git",
|
||||
"diff",
|
||||
"--name-only",
|
||||
"origin/main..HEAD",
|
||||
"--",
|
||||
pkg_path,
|
||||
],
|
||||
capture_output=True,
|
||||
text=True,
|
||||
)
|
||||
|
|
@ -154,9 +160,7 @@ def cmd_version_dev(package: str) -> None:
|
|||
changelogs_dir.mkdir(exist_ok=True)
|
||||
safe_branch = branch.replace("_", "-").replace("/", "-")
|
||||
entry_path = changelogs_dir / f"{safe_branch}.md"
|
||||
entry_path.write_text(
|
||||
"### Enhancements\n\n### Features\n\n### Fixes\n"
|
||||
)
|
||||
entry_path.write_text("### Enhancements\n\n### Features\n\n### Fixes\n")
|
||||
subprocess.run(["git", "add", str(entry_path)], check=True)
|
||||
print(f"Created changelog entry: {entry_path.relative_to(REPO_ROOT)}")
|
||||
|
||||
|
|
|
|||
123
uv.lock
123
uv.lock
|
|
@ -21,6 +21,7 @@ members = [
|
|||
"codeflash-python",
|
||||
"codeflash-service",
|
||||
"codeflash-workspace",
|
||||
"unstructured-report",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
|
@ -126,6 +127,15 @@ wheels = [
|
|||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
|
|
@ -751,6 +761,26 @@ nvtx = [
|
|||
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||||
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|
||||
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|
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|
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|
|
|
|||
Loading…
Reference in a new issue