feat: implement AtoCore Phase 0 + Phase 0.5 (foundation + PoC)
Complete implementation of the personal context engine foundation:
- FastAPI server with 5 endpoints (ingest, query, context/build, health, debug)
- SQLite database with 5 tables (documents, chunks, memories, projects, interactions)
- Heading-aware markdown chunker (800 char max, recursive splitting)
- Multilingual embeddings via sentence-transformers (EN/FR)
- ChromaDB vector store with cosine similarity retrieval
- Context builder with project boosting, dedup, and budget enforcement
- CLI scripts for batch ingestion and test prompt evaluation
- 19 unit tests passing, 79% coverage
- Validated on 482 real project files (8383 chunks, 0 errors)
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-05 09:21:27 -04:00
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"""AtoCore — FastAPI application entry point."""
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phase9 first-real-use validation + small hygiene wins
Session 1 of the four-session plan. Empirically exercises the Phase 9
loop (capture -> reinforce -> extract) for the first time and lands
three small hygiene fixes.
Validation script + report
--------------------------
scripts/phase9_first_real_use.py — reproducible script that:
- sets up an isolated SQLite + Chroma store under
data/validation/phase9-first-use (gitignored)
- seeds 3 active memories
- runs 8 sample interactions through capture + reinforce + extract
- prints what each step produced and reinforcement state at the end
- supports --json output for downstream tooling
docs/phase9-first-real-use.md — narrative report of the run with:
- extraction results table (8/8 expectations met exactly)
- the empirical finding that REINFORCEMENT MATCHED ZERO seeds
despite sample 5 clearly echoing the rebase preference memory
- root cause analysis: the substring matcher is too brittle for
natural paraphrases (e.g. "prefers" vs "I prefer", "history"
vs "the history")
- recommended fix: replace substring matcher with a token-overlap
matcher (>=70% of memory tokens present in response, with
light stemming and a small stop list)
- explicit note that the fix is queued as a follow-up commit, not
bundled into the report — keeps the audit trail clean
Key extraction results from the run:
- all 7 heading/sentence rules fired correctly
- 0 false positives on the prose-only sample (the most important
sanity check)
- long content preserved without truncation
- dedup correctly kept three distinct cues from one interaction
- project scoping flowed cleanly through the pipeline
Hygiene 1: FastAPI lifespan migration (src/atocore/main.py)
- Replaced @app.on_event("startup") with the modern @asynccontextmanager
lifespan handler
- Same setup work (setup_logging, ensure_runtime_dirs, init_db,
init_project_state_schema, startup_ready log)
- Removes the two on_event deprecation warnings from every test run
- Test suite now shows 1 warning instead of 3
Hygiene 2: EXTRACTOR_VERSION constant (src/atocore/memory/extractor.py)
- Added EXTRACTOR_VERSION = "0.1.0" with a versioned change log comment
- MemoryCandidate dataclass carries extractor_version on every candidate
- POST /interactions/{id}/extract response now includes extractor_version
on both the top level (current run) and on each candidate
- Implements the versioning requirement called out in
docs/architecture/promotion-rules.md so old candidates can be
identified and re-evaluated when the rule set evolves
Hygiene 3: ~/.git-credentials cleanup (out-of-tree, not committed)
- Removed the dead OAUTH_USER:<jwt> line for dalidou:3000 that was
being silently rewritten by the system credential manager on every
push attempt
- Configured credential.http://dalidou:3000.helper with the empty-string
sentinel pattern so the URL-specific helper chain is exactly
["", store] instead of inheriting the system-level "manager" helper
that ships with Git for Windows
- Same fix for the 100.80.199.40 (Tailscale) entry
- Verified end to end: a fresh push using only the cleaned credentials
file (no embedded URL) authenticates as Antoine and lands cleanly
Full suite: 160 passing (no change from previous), 1 warning
(was 3) thanks to the lifespan migration.
2026-04-07 06:16:35 -04:00
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from contextlib import asynccontextmanager
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feat: implement AtoCore Phase 0 + Phase 0.5 (foundation + PoC)
Complete implementation of the personal context engine foundation:
- FastAPI server with 5 endpoints (ingest, query, context/build, health, debug)
- SQLite database with 5 tables (documents, chunks, memories, projects, interactions)
- Heading-aware markdown chunker (800 char max, recursive splitting)
- Multilingual embeddings via sentence-transformers (EN/FR)
- ChromaDB vector store with cosine similarity retrieval
- Context builder with project boosting, dedup, and budget enforcement
- CLI scripts for batch ingestion and test prompt evaluation
- 19 unit tests passing, 79% coverage
- Validated on 482 real project files (8383 chunks, 0 errors)
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-05 09:21:27 -04:00
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from fastapi import FastAPI
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from atocore.api.routes import router
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2026-04-05 17:53:23 -04:00
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import atocore.config as _config
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2026-04-05 09:41:59 -04:00
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from atocore.context.project_state import init_project_state_schema
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2026-04-05 18:33:52 -04:00
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from atocore.ingestion.pipeline import get_source_status
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feat: implement AtoCore Phase 0 + Phase 0.5 (foundation + PoC)
Complete implementation of the personal context engine foundation:
- FastAPI server with 5 endpoints (ingest, query, context/build, health, debug)
- SQLite database with 5 tables (documents, chunks, memories, projects, interactions)
- Heading-aware markdown chunker (800 char max, recursive splitting)
- Multilingual embeddings via sentence-transformers (EN/FR)
- ChromaDB vector store with cosine similarity retrieval
- Context builder with project boosting, dedup, and budget enforcement
- CLI scripts for batch ingestion and test prompt evaluation
- 19 unit tests passing, 79% coverage
- Validated on 482 real project files (8383 chunks, 0 errors)
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-05 09:21:27 -04:00
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from atocore.models.database import init_db
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2026-04-05 18:33:52 -04:00
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from atocore.observability.logger import get_logger, setup_logging
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feat: implement AtoCore Phase 0 + Phase 0.5 (foundation + PoC)
Complete implementation of the personal context engine foundation:
- FastAPI server with 5 endpoints (ingest, query, context/build, health, debug)
- SQLite database with 5 tables (documents, chunks, memories, projects, interactions)
- Heading-aware markdown chunker (800 char max, recursive splitting)
- Multilingual embeddings via sentence-transformers (EN/FR)
- ChromaDB vector store with cosine similarity retrieval
- Context builder with project boosting, dedup, and budget enforcement
- CLI scripts for batch ingestion and test prompt evaluation
- 19 unit tests passing, 79% coverage
- Validated on 482 real project files (8383 chunks, 0 errors)
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-05 09:21:27 -04:00
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2026-04-05 18:33:52 -04:00
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log = get_logger("main")
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feat: implement AtoCore Phase 0 + Phase 0.5 (foundation + PoC)
Complete implementation of the personal context engine foundation:
- FastAPI server with 5 endpoints (ingest, query, context/build, health, debug)
- SQLite database with 5 tables (documents, chunks, memories, projects, interactions)
- Heading-aware markdown chunker (800 char max, recursive splitting)
- Multilingual embeddings via sentence-transformers (EN/FR)
- ChromaDB vector store with cosine similarity retrieval
- Context builder with project boosting, dedup, and budget enforcement
- CLI scripts for batch ingestion and test prompt evaluation
- 19 unit tests passing, 79% coverage
- Validated on 482 real project files (8383 chunks, 0 errors)
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-05 09:21:27 -04:00
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phase9 first-real-use validation + small hygiene wins
Session 1 of the four-session plan. Empirically exercises the Phase 9
loop (capture -> reinforce -> extract) for the first time and lands
three small hygiene fixes.
Validation script + report
--------------------------
scripts/phase9_first_real_use.py — reproducible script that:
- sets up an isolated SQLite + Chroma store under
data/validation/phase9-first-use (gitignored)
- seeds 3 active memories
- runs 8 sample interactions through capture + reinforce + extract
- prints what each step produced and reinforcement state at the end
- supports --json output for downstream tooling
docs/phase9-first-real-use.md — narrative report of the run with:
- extraction results table (8/8 expectations met exactly)
- the empirical finding that REINFORCEMENT MATCHED ZERO seeds
despite sample 5 clearly echoing the rebase preference memory
- root cause analysis: the substring matcher is too brittle for
natural paraphrases (e.g. "prefers" vs "I prefer", "history"
vs "the history")
- recommended fix: replace substring matcher with a token-overlap
matcher (>=70% of memory tokens present in response, with
light stemming and a small stop list)
- explicit note that the fix is queued as a follow-up commit, not
bundled into the report — keeps the audit trail clean
Key extraction results from the run:
- all 7 heading/sentence rules fired correctly
- 0 false positives on the prose-only sample (the most important
sanity check)
- long content preserved without truncation
- dedup correctly kept three distinct cues from one interaction
- project scoping flowed cleanly through the pipeline
Hygiene 1: FastAPI lifespan migration (src/atocore/main.py)
- Replaced @app.on_event("startup") with the modern @asynccontextmanager
lifespan handler
- Same setup work (setup_logging, ensure_runtime_dirs, init_db,
init_project_state_schema, startup_ready log)
- Removes the two on_event deprecation warnings from every test run
- Test suite now shows 1 warning instead of 3
Hygiene 2: EXTRACTOR_VERSION constant (src/atocore/memory/extractor.py)
- Added EXTRACTOR_VERSION = "0.1.0" with a versioned change log comment
- MemoryCandidate dataclass carries extractor_version on every candidate
- POST /interactions/{id}/extract response now includes extractor_version
on both the top level (current run) and on each candidate
- Implements the versioning requirement called out in
docs/architecture/promotion-rules.md so old candidates can be
identified and re-evaluated when the rule set evolves
Hygiene 3: ~/.git-credentials cleanup (out-of-tree, not committed)
- Removed the dead OAUTH_USER:<jwt> line for dalidou:3000 that was
being silently rewritten by the system credential manager on every
push attempt
- Configured credential.http://dalidou:3000.helper with the empty-string
sentinel pattern so the URL-specific helper chain is exactly
["", store] instead of inheriting the system-level "manager" helper
that ships with Git for Windows
- Same fix for the 100.80.199.40 (Tailscale) entry
- Verified end to end: a fresh push using only the cleaned credentials
file (no embedded URL) authenticates as Antoine and lands cleanly
Full suite: 160 passing (no change from previous), 1 warning
(was 3) thanks to the lifespan migration.
2026-04-07 06:16:35 -04:00
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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"""Run setup before the first request and teardown after shutdown.
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Replaces the deprecated ``@app.on_event("startup")`` hook with the
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modern ``lifespan`` context manager. Setup runs synchronously (the
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underlying calls are blocking I/O) so no await is needed; the
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function still must be async per the FastAPI contract.
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"""
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feat: implement AtoCore Phase 0 + Phase 0.5 (foundation + PoC)
Complete implementation of the personal context engine foundation:
- FastAPI server with 5 endpoints (ingest, query, context/build, health, debug)
- SQLite database with 5 tables (documents, chunks, memories, projects, interactions)
- Heading-aware markdown chunker (800 char max, recursive splitting)
- Multilingual embeddings via sentence-transformers (EN/FR)
- ChromaDB vector store with cosine similarity retrieval
- Context builder with project boosting, dedup, and budget enforcement
- CLI scripts for batch ingestion and test prompt evaluation
- 19 unit tests passing, 79% coverage
- Validated on 482 real project files (8383 chunks, 0 errors)
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-05 09:21:27 -04:00
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setup_logging()
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2026-04-05 18:33:52 -04:00
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_config.ensure_runtime_dirs()
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feat: implement AtoCore Phase 0 + Phase 0.5 (foundation + PoC)
Complete implementation of the personal context engine foundation:
- FastAPI server with 5 endpoints (ingest, query, context/build, health, debug)
- SQLite database with 5 tables (documents, chunks, memories, projects, interactions)
- Heading-aware markdown chunker (800 char max, recursive splitting)
- Multilingual embeddings via sentence-transformers (EN/FR)
- ChromaDB vector store with cosine similarity retrieval
- Context builder with project boosting, dedup, and budget enforcement
- CLI scripts for batch ingestion and test prompt evaluation
- 19 unit tests passing, 79% coverage
- Validated on 482 real project files (8383 chunks, 0 errors)
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-05 09:21:27 -04:00
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init_db()
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2026-04-05 09:41:59 -04:00
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init_project_state_schema()
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2026-04-05 18:33:52 -04:00
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log.info(
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"startup_ready",
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env=_config.settings.env,
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db_path=str(_config.settings.db_path),
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chroma_path=str(_config.settings.chroma_path),
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source_status=get_source_status(),
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)
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phase9 first-real-use validation + small hygiene wins
Session 1 of the four-session plan. Empirically exercises the Phase 9
loop (capture -> reinforce -> extract) for the first time and lands
three small hygiene fixes.
Validation script + report
--------------------------
scripts/phase9_first_real_use.py — reproducible script that:
- sets up an isolated SQLite + Chroma store under
data/validation/phase9-first-use (gitignored)
- seeds 3 active memories
- runs 8 sample interactions through capture + reinforce + extract
- prints what each step produced and reinforcement state at the end
- supports --json output for downstream tooling
docs/phase9-first-real-use.md — narrative report of the run with:
- extraction results table (8/8 expectations met exactly)
- the empirical finding that REINFORCEMENT MATCHED ZERO seeds
despite sample 5 clearly echoing the rebase preference memory
- root cause analysis: the substring matcher is too brittle for
natural paraphrases (e.g. "prefers" vs "I prefer", "history"
vs "the history")
- recommended fix: replace substring matcher with a token-overlap
matcher (>=70% of memory tokens present in response, with
light stemming and a small stop list)
- explicit note that the fix is queued as a follow-up commit, not
bundled into the report — keeps the audit trail clean
Key extraction results from the run:
- all 7 heading/sentence rules fired correctly
- 0 false positives on the prose-only sample (the most important
sanity check)
- long content preserved without truncation
- dedup correctly kept three distinct cues from one interaction
- project scoping flowed cleanly through the pipeline
Hygiene 1: FastAPI lifespan migration (src/atocore/main.py)
- Replaced @app.on_event("startup") with the modern @asynccontextmanager
lifespan handler
- Same setup work (setup_logging, ensure_runtime_dirs, init_db,
init_project_state_schema, startup_ready log)
- Removes the two on_event deprecation warnings from every test run
- Test suite now shows 1 warning instead of 3
Hygiene 2: EXTRACTOR_VERSION constant (src/atocore/memory/extractor.py)
- Added EXTRACTOR_VERSION = "0.1.0" with a versioned change log comment
- MemoryCandidate dataclass carries extractor_version on every candidate
- POST /interactions/{id}/extract response now includes extractor_version
on both the top level (current run) and on each candidate
- Implements the versioning requirement called out in
docs/architecture/promotion-rules.md so old candidates can be
identified and re-evaluated when the rule set evolves
Hygiene 3: ~/.git-credentials cleanup (out-of-tree, not committed)
- Removed the dead OAUTH_USER:<jwt> line for dalidou:3000 that was
being silently rewritten by the system credential manager on every
push attempt
- Configured credential.http://dalidou:3000.helper with the empty-string
sentinel pattern so the URL-specific helper chain is exactly
["", store] instead of inheriting the system-level "manager" helper
that ships with Git for Windows
- Same fix for the 100.80.199.40 (Tailscale) entry
- Verified end to end: a fresh push using only the cleaned credentials
file (no embedded URL) authenticates as Antoine and lands cleanly
Full suite: 160 passing (no change from previous), 1 warning
(was 3) thanks to the lifespan migration.
2026-04-07 06:16:35 -04:00
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yield
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# No teardown work needed today; SQLite connections are short-lived
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# and the Chroma client cleans itself up on process exit.
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app = FastAPI(
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title="AtoCore",
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description="Personal Context Engine for LLM interactions",
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version="0.1.0",
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lifespan=lifespan,
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)
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app.include_router(router)
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feat: implement AtoCore Phase 0 + Phase 0.5 (foundation + PoC)
Complete implementation of the personal context engine foundation:
- FastAPI server with 5 endpoints (ingest, query, context/build, health, debug)
- SQLite database with 5 tables (documents, chunks, memories, projects, interactions)
- Heading-aware markdown chunker (800 char max, recursive splitting)
- Multilingual embeddings via sentence-transformers (EN/FR)
- ChromaDB vector store with cosine similarity retrieval
- Context builder with project boosting, dedup, and budget enforcement
- CLI scripts for batch ingestion and test prompt evaluation
- 19 unit tests passing, 79% coverage
- Validated on 482 real project files (8383 chunks, 0 errors)
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-05 09:21:27 -04:00
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if __name__ == "__main__":
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import uvicorn
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uvicorn.run(
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"atocore.main:app",
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2026-04-05 17:53:23 -04:00
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host=_config.settings.host,
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port=_config.settings.port,
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feat: implement AtoCore Phase 0 + Phase 0.5 (foundation + PoC)
Complete implementation of the personal context engine foundation:
- FastAPI server with 5 endpoints (ingest, query, context/build, health, debug)
- SQLite database with 5 tables (documents, chunks, memories, projects, interactions)
- Heading-aware markdown chunker (800 char max, recursive splitting)
- Multilingual embeddings via sentence-transformers (EN/FR)
- ChromaDB vector store with cosine similarity retrieval
- Context builder with project boosting, dedup, and budget enforcement
- CLI scripts for batch ingestion and test prompt evaluation
- 19 unit tests passing, 79% coverage
- Validated on 482 real project files (8383 chunks, 0 errors)
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-05 09:21:27 -04:00
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reload=True,
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)
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