phase5-pipeline

This commit is contained in:
ldy
2026-06-18 00:02:58 -04:00
parent ed3ec1d2c6
commit 91cf930a5f
4 changed files with 1186 additions and 22 deletions

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@@ -1,10 +1,297 @@
"""SQLite persistence layer: companies table, jobs table, dedup, company cache, CSV export.
"""SQLite persistence layer: companies table, jobs table, dedup, company cache, CSV export."""
from __future__ import annotations
Scaffold stub -- not implemented yet.
import csv
import logging
import sqlite3
from datetime import datetime, timezone
from pathlib import Path
from urllib.parse import urlsplit
from .config import get_settings
from .models import CSV_COLUMNS, JobResult, JobStatus
logger = logging.getLogger(__name__)
# ---------------------------------------------------------------------------
# Pure helper — standalone so tests can import it directly
# ---------------------------------------------------------------------------
def _company_key(name: str, website: str | None) -> str:
"""Derive a stable company key: registrable domain if website known, else name.
Examples:
_company_key("Acme Inc", "https://www.acme.com/about") -> "acme.com"
_company_key("Acme LLC", None) -> "acme"
"""
# TODO (Stage 4): implement per CLAUDE.md "Stage 4 — Persist & export" and "Data model".
# Schema:
# companies(company_key PK, name, website, career_url, first_seen)
# jobs(job_id PK, company_key, linkedin_url, position_url, status, listed_at, first_seen)
# CSV export writes output/results.csv with columns: company_name, career_page_url, open_position_url
# (complete rows — status==position_found — sorted first; incomplete rows follow).
if website:
try:
hostname = urlsplit(website).hostname or ""
hostname = hostname.lower()
if hostname.startswith("www."):
hostname = hostname[4:]
if hostname:
return hostname
except Exception:
pass
slug = name.strip().lower()
return slug or "unknown"
def _now_iso() -> str:
return datetime.now(timezone.utc).isoformat()
# ---------------------------------------------------------------------------
# Database
# ---------------------------------------------------------------------------
class Database:
"""SQLite-backed store for companies and jobs.
Supports use as a context manager. Thread-safety: one connection per
instance (single-threaded pipeline use). Postgres-swap is possible by
replacing this class behind the same interface.
"""
def __init__(self, path: Path | str | None = None) -> None:
if path is None:
path = get_settings().db_path
path = Path(path)
path.parent.mkdir(parents=True, exist_ok=True)
self._conn = sqlite3.connect(str(path))
self._conn.row_factory = sqlite3.Row
# WAL mode for better write performance (no-op on in-memory dbs)
self._conn.execute("PRAGMA journal_mode=WAL")
self.init_schema()
logger.debug("db: opened %s", path)
# ---- Schema -----------------------------------------------------------
def init_schema(self) -> None:
"""Create tables if they don't exist. Safe to call on every startup."""
self._conn.executescript("""
CREATE TABLE IF NOT EXISTS companies (
company_key TEXT PRIMARY KEY,
name TEXT,
website TEXT,
career_url TEXT,
first_seen TEXT
);
CREATE TABLE IF NOT EXISTS jobs (
job_id TEXT PRIMARY KEY,
company_key TEXT,
linkedin_url TEXT,
position_url TEXT,
status TEXT,
listed_at TEXT,
first_seen TEXT
);
""")
self._conn.commit()
# ---- Dedup / cache ----------------------------------------------------
def is_seen(self, job_id: str) -> bool:
"""Return True if this job_id already exists in the DB (cross-run dedup)."""
row = self._conn.execute(
"SELECT 1 FROM jobs WHERE job_id = ?", (job_id,)
).fetchone()
return row is not None
def get_cached_career_url(self, company_key: str) -> str | None:
"""Return a previously resolved career URL for this company, or None.
When non-null, the pipeline skips the cascade for this company and uses
the cached value directly (companies are resolved at most once).
"""
row = self._conn.execute(
"SELECT career_url FROM companies WHERE company_key = ?", (company_key,)
).fetchone()
if row and row["career_url"]:
return row["career_url"]
return None
# ---- Company key helper -----------------------------------------------
def company_key_for(self, name: str, website: str | None) -> str:
"""Delegate to the module-level pure function."""
return _company_key(name, website)
# ---- Upserts ----------------------------------------------------------
def upsert_company(
self,
company_key: str,
name: str,
website: str | None,
career_url: str | None,
) -> None:
"""Insert or update a company row.
COALESCE semantics: a new non-null value fills an existing NULL, but
never clobbers an already-populated column. first_seen is preserved.
"""
now = _now_iso()
self._conn.execute(
"""
INSERT INTO companies(company_key, name, website, career_url, first_seen)
VALUES (?, ?, ?, ?, ?)
ON CONFLICT(company_key) DO UPDATE SET
name = COALESCE(excluded.name, companies.name),
website = COALESCE(excluded.website, companies.website),
career_url = COALESCE(excluded.career_url, companies.career_url),
first_seen = companies.first_seen
""",
(company_key, name, website, career_url, now),
)
self._conn.commit()
def upsert_job(self, result: JobResult) -> None:
"""Insert or update a job row.
first_seen is preserved on conflict. position_url and linkedin_url
use COALESCE: a resolved value fills a prior NULL but is never
overwritten once set.
"""
now = _now_iso()
listed_at = (
result.listed_at.isoformat() if result.listed_at is not None else None
)
self._conn.execute(
"""
INSERT INTO jobs(job_id, company_key, linkedin_url, position_url, status, listed_at, first_seen)
VALUES (?, ?, ?, ?, ?, ?, ?)
ON CONFLICT(job_id) DO UPDATE SET
company_key = excluded.company_key,
linkedin_url = COALESCE(excluded.linkedin_url, jobs.linkedin_url),
position_url = COALESCE(excluded.position_url, jobs.position_url),
status = excluded.status,
listed_at = COALESCE(excluded.listed_at, jobs.listed_at),
first_seen = jobs.first_seen
""",
(
result.job_id,
result.company_key,
result.linkedin_url,
result.open_position_url,
result.status.value,
listed_at,
now,
),
)
self._conn.commit()
def persist_result(self, result: JobResult) -> None:
"""Persist one JobResult atomically: upsert company then job."""
with self._conn:
now = _now_iso()
listed_at = (
result.listed_at.isoformat() if result.listed_at is not None else None
)
self._conn.execute(
"""
INSERT INTO companies(company_key, name, website, career_url, first_seen)
VALUES (?, ?, ?, ?, ?)
ON CONFLICT(company_key) DO UPDATE SET
name = COALESCE(excluded.name, companies.name),
website = COALESCE(excluded.website, companies.website),
career_url = COALESCE(excluded.career_url, companies.career_url),
first_seen = companies.first_seen
""",
(
result.company_key,
result.company_name,
result.website,
result.career_page_url,
now,
),
)
self._conn.execute(
"""
INSERT INTO jobs(job_id, company_key, linkedin_url, position_url, status, listed_at, first_seen)
VALUES (?, ?, ?, ?, ?, ?, ?)
ON CONFLICT(job_id) DO UPDATE SET
company_key = excluded.company_key,
linkedin_url = COALESCE(excluded.linkedin_url, jobs.linkedin_url),
position_url = COALESCE(excluded.position_url, jobs.position_url),
status = excluded.status,
listed_at = COALESCE(excluded.listed_at, jobs.listed_at),
first_seen = jobs.first_seen
""",
(
result.job_id,
result.company_key,
result.linkedin_url,
result.open_position_url,
result.status.value,
listed_at,
now,
),
)
# ---- Export -----------------------------------------------------------
def export_csv(self, path: Path | None = None) -> Path:
"""Write output/results.csv; complete (position_found) rows sorted first.
Uses models.CSV_COLUMNS for the header; None values become empty strings.
Returns the Path written.
"""
if path is None:
path = get_settings().output_csv
path = Path(path)
path.parent.mkdir(parents=True, exist_ok=True)
rows = self._conn.execute(
"""
SELECT
c.name AS company_name,
c.career_url AS career_page_url,
j.position_url AS open_position_url,
j.status
FROM jobs j
LEFT JOIN companies c ON j.company_key = c.company_key
ORDER BY
(j.status = 'position_found') DESC,
c.name ASC NULLS LAST
"""
).fetchall()
with path.open("w", newline="", encoding="utf-8") as fh:
writer = csv.DictWriter(fh, fieldnames=list(CSV_COLUMNS))
writer.writeheader()
for row in rows:
writer.writerow(
{
"company_name": row["company_name"] or "",
"career_page_url": row["career_page_url"] or "",
"open_position_url": row["open_position_url"] or "",
}
)
logger.info("db: exported %d rows to %s", len(rows), path)
return path
# ---- Counts (for summary / tests) ------------------------------------
def counts(self) -> dict[str, int]:
"""Return per-status job counts from the DB."""
rows = self._conn.execute(
"SELECT status, COUNT(*) AS n FROM jobs GROUP BY status"
).fetchall()
return {row["status"]: row["n"] for row in rows}
# ---- Lifecycle -------------------------------------------------------
def close(self) -> None:
self._conn.close()
def __enter__(self) -> "Database":
return self
def __exit__(self, *_: object) -> None:
self.close()

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@@ -46,8 +46,13 @@ def build_parser() -> argparse.ArgumentParser:
def main(argv: list[str] | None = None) -> int:
args = build_parser().parse_args(argv)
print("jobsource: scaffold stub -- pipeline not implemented yet.", file=sys.stderr)
print(f"parsed args: {vars(args)}", file=sys.stderr)
from jobsource.pipeline import run_batch # deferred: keeps --help fast before heavy deps
run_batch(
batch_size=args.batch_size,
search_terms=args.search, # None or list[str] from --search repeats
location=args.location,
hours_old=args.hours_old,
)
return 0

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@@ -1,12 +1,334 @@
"""Batch orchestration: dedup, per-record isolation, cascade, persistence, summary.
"""Batch orchestration: dedup, per-record isolation, cascade, persistence, summary."""
from __future__ import annotations
Scaffold stub -- not implemented yet.
import logging
import time
from dataclasses import dataclass
from .careers.cascade import find_careers_page
from .config import get_settings
from .db import Database
from .extract import extract_open_position
from .http import build_client
from .models import JobResult, JobStatus, RawJob
from .resolve import resolve_website
from .sources.base import JobSource
logger = logging.getLogger(__name__)
# ---------------------------------------------------------------------------
# Public summary result
# ---------------------------------------------------------------------------
@dataclass
class BatchSummary:
"""Per-stage counts returned (and printed) by run_batch()."""
fetched: int = 0
already_seen: int = 0
new: int = 0
website_resolved: int = 0
careers_found: int = 0
position_found: int = 0
needs_review: int = 0
failed: int = 0
@property
def coverage(self) -> float:
"""Fraction of new jobs that reached position_found."""
return self.position_found / self.new if self.new > 0 else 0.0
# ---------------------------------------------------------------------------
# Entry point
# ---------------------------------------------------------------------------
def run_batch(
batch_size: int | None = None,
*,
search_terms: list[str] | None = None,
location: str | None = None,
hours_old: int | None = None,
db: Database | None = None,
) -> BatchSummary:
"""Fetch, dedup, cascade, persist, and export one batch of jobs.
Override arguments take precedence over config values; ``None`` means
"use config default". Returns a :class:`BatchSummary` (also printed).
One failing record never aborts the batch — each job is isolated in its
own try/except; the outer loop continues regardless.
"""
# TODO (pipeline): implement run_batch() per CLAUDE.md "Pipeline stages".
# run_batch() contract:
# - Accept batch_size, search terms, location, hours_old overrides.
# - Call the job source, dedup by job_id against the DB (skip already-seen jobs).
# - For each new RawJob, run the full cascade (resolve -> careers -> extract) in isolation:
# one failing record must NEVER abort the batch — catch, record failed/needs_review, continue.
# - Persist each JobResult to the DB and export output/results.csv when done.
# - Print a run summary: per-stage counts + % of new jobs reaching position_found.
settings = get_settings()
batch_size = batch_size if batch_size is not None else settings.batch_size
search_terms = search_terms if search_terms is not None else list(settings.search_terms)
location = location if location is not None else settings.location
hours_old = hours_old if hours_old is not None else settings.hours_old
own_db = db is None
if own_db:
db = Database()
summary = BatchSummary()
t0 = time.perf_counter()
csv_path = None
try:
# ------------------------------------------------------------------
# Stage 1 — Ingest
# ------------------------------------------------------------------
source = _make_source(settings)
print(f"\n{'='*64}")
print(
f" JobSourceAgent batch={batch_size}"
f" search={search_terms}"
f" hours_old={hours_old}"
)
print(f"{'='*64}")
print("Stage 1: ingesting jobs…")
raw_jobs: list[RawJob] = source.fetch_recent_jobs(
search_terms=search_terms,
location=location,
hours_old=hours_old,
results_wanted=settings.results_wanted,
)
summary.fetched = len(raw_jobs)
# Dedup: filter out jobs already in the DB; cap new jobs at batch_size.
new_jobs: list[RawJob] = []
for raw in raw_jobs:
if db.is_seen(raw.job_id):
summary.already_seen += 1
else:
new_jobs.append(raw)
if len(new_jobs) >= batch_size:
break
summary.new = len(new_jobs)
print(
f" Fetched {summary.fetched} jobs; "
f"{summary.already_seen} already seen; "
f"{summary.new} new to process.\n"
)
# ------------------------------------------------------------------
# Stages 1b → 3 — per-record cascade
# ------------------------------------------------------------------
if new_jobs:
with build_client() as client:
for raw in new_jobs:
result = JobResult.from_raw(raw)
print(f"[{raw.job_id}] {raw.company}")
try:
_process_one(result, raw, db, client)
except Exception as exc:
# Safety net — _process_one should not raise, but guard anyway.
logger.exception(
"pipeline: unexpected error for %s (%s): %s",
raw.job_id, raw.company, exc,
)
result.status = JobStatus.failed
try:
db.persist_result(result)
except Exception:
logger.exception(
"pipeline: failed to persist error record %s", raw.job_id
)
_tally(summary, result)
print()
# ------------------------------------------------------------------
# Stage 4 — Export CSV
# ------------------------------------------------------------------
try:
csv_path = db.export_csv()
except Exception as exc:
logger.error("pipeline: CSV export failed: %s", exc)
finally:
if own_db:
db.close()
elapsed = time.perf_counter() - t0
_print_summary(summary, elapsed, csv_path)
return summary
# ---------------------------------------------------------------------------
# Per-record cascade (must not raise — handles all errors internally)
# ---------------------------------------------------------------------------
def _process_one(
result: JobResult,
raw: RawJob,
db: Database,
client: object,
) -> None:
"""Run stages 1b → 3 for one job and persist the result.
Uses early returns for soft misses (needs_review) and catches exceptions
for hard failures (failed status). Never raises to the caller.
"""
# ------------------------------------------------------------------
# Stage 1b — Resolve company website
# ------------------------------------------------------------------
try:
website = resolve_website(raw.company, raw.website, client=client)
except Exception as exc:
logger.warning("pipeline(%s): resolve error: %s", raw.job_id, exc)
print(f" resolve: ERROR — {exc}")
result.status = JobStatus.failed
db.persist_result(result)
return
if not website:
print(" website: UNRESOLVED")
result.status = JobStatus.needs_review
db.persist_result(result)
return
result.website = website
result.status = JobStatus.website_resolved
result.company_key = db.company_key_for(raw.company, website)
print(f" website: {website}")
# ------------------------------------------------------------------
# Stage 2 — Find careers page (check company cache first)
# ------------------------------------------------------------------
cached_career_url = db.get_cached_career_url(result.company_key)
if cached_career_url:
careers_url = cached_career_url
careers_method = "cache"
position_shortcut: str | None = None
print(f" careers: {careers_url} [cache]")
else:
try:
cr = find_careers_page(website, company_name=raw.company, client=client)
except Exception as exc:
logger.warning("pipeline(%s): cascade error: %s", raw.job_id, exc)
print(f" careers: ERROR — {exc}")
result.status = JobStatus.needs_review
db.persist_result(result)
return
careers_url = cr.careers_url
careers_method = cr.method
position_shortcut = cr.position_url
if not careers_url:
print(f" careers: MISSED (method={cr.method})")
result.status = JobStatus.needs_review
db.persist_result(result)
return
print(
f" careers: {careers_url}"
f" [{careers_method} conf={cr.confidence:.2f}]"
)
result.career_page_url = careers_url
result.careers_method = careers_method
result.status = JobStatus.careers_found
# ------------------------------------------------------------------
# Stage 3 — Extract one open position
# ------------------------------------------------------------------
if position_shortcut:
# Free shortcut from ATS or browser-agent tier — no extra HTTP call.
position_url = position_shortcut
position_method = careers_method
else:
try:
position_url, position_method = extract_open_position(
careers_url, client=client
)
except Exception as exc:
logger.warning("pipeline(%s): extract error: %s", raw.job_id, exc)
print(f" position: ERROR — {exc}")
result.status = JobStatus.needs_review
db.persist_result(result)
return
if position_url:
result.open_position_url = position_url
result.position_method = position_method
result.status = JobStatus.position_found
print(f" position: {position_url} [{position_method}]")
else:
print(f" position: MISSED (method={position_method})")
result.status = JobStatus.needs_review
db.persist_result(result)
# ---------------------------------------------------------------------------
# Internal helpers
# ---------------------------------------------------------------------------
def _make_source(settings) -> JobSource:
"""Instantiate the configured job source provider."""
if settings.job_source == "apify":
from .sources.apify_source import ApifySource
return ApifySource()
from .sources.jobspy_source import JobSpySource
return JobSpySource()
def _tally(summary: BatchSummary, result: JobResult) -> None:
"""Accumulate per-stage counts from a processed JobResult."""
if result.website:
summary.website_resolved += 1
if result.career_page_url:
summary.careers_found += 1
if result.open_position_url:
summary.position_found += 1
if result.status == JobStatus.needs_review:
summary.needs_review += 1
elif result.status == JobStatus.failed:
summary.failed += 1
def _print_summary(
summary: BatchSummary, elapsed: float, csv_path: object
) -> None:
"""Print the run summary table to stdout."""
n = summary.new
wr = summary.website_resolved
cf = summary.careers_found
print(f"{'='*64}")
print(f" SUMMARY ({n} new jobs processed in {elapsed:.1f}s)")
print(f"{'='*64}")
print(
f" Stage 1 ingested {summary.fetched:>4}"
f" ({summary.already_seen} already seen)"
)
print(
f" Stage 1b website resolved {wr:>4} / {n}"
f" ({wr / max(n, 1) * 100:.0f}%)"
)
print(
f" Stage 2 careers found {cf:>4} / {wr}"
f" ({cf / max(wr, 1) * 100:.0f}% of resolved)"
)
print(
f" Stage 3 position found {summary.position_found:>4} / {cf}"
f" ({summary.position_found / max(cf, 1) * 100:.0f}% of careers)"
)
print(f" Needs review {summary.needs_review:>4}")
print(f" Failed {summary.failed:>4}")
print(
f" End-to-end coverage "
f"{summary.coverage * 100:.0f}%"
f" ({summary.position_found}/{n} new jobs fully resolved)"
)
if csv_path:
print(f" CSV written to {csv_path}")
print()

550
tests/test_db.py Normal file
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@@ -0,0 +1,550 @@
"""Tests for jobsource/db.py and jobsource/pipeline.py.
All tests are offline — no network calls, no real job source.
The DB uses tmp_path (file-backed) or ":memory:" via path override.
"""
from __future__ import annotations
import csv
from datetime import datetime, timezone
from pathlib import Path
from unittest.mock import MagicMock, patch
import pytest
from jobsource.db import Database, _company_key
from jobsource.models import CSV_COLUMNS, JobResult, JobStatus, RawJob
# ---------------------------------------------------------------------------
# Helpers
# ---------------------------------------------------------------------------
def _db(tmp_path: Path) -> Database:
"""Open a fresh file-backed Database in tmp_path."""
return Database(path=tmp_path / "test.db")
def _result(
job_id: str = "1",
company_name: str = "Acme",
website: str | None = "https://acme.com",
career_url: str | None = "https://acme.com/careers",
position_url: str | None = "https://acme.com/careers/jobs/42",
status: JobStatus = JobStatus.position_found,
company_key: str | None = None,
) -> JobResult:
return JobResult(
job_id=job_id,
company_name=company_name,
company_key=company_key or _company_key(company_name, website),
website=website,
career_page_url=career_url,
open_position_url=position_url,
status=status,
)
# ---------------------------------------------------------------------------
# _company_key (pure function)
# ---------------------------------------------------------------------------
class TestCompanyKey:
def test_domain_stripped_of_www(self) -> None:
assert _company_key("Acme", "https://www.acme.com/about") == "acme.com"
def test_domain_lowercase(self) -> None:
assert _company_key("Foo", "https://Foo.IO") == "foo.io"
def test_no_website_uses_name(self) -> None:
assert _company_key("Globex Corp", None) == "globex corp"
def test_no_website_lowercased(self) -> None:
assert _company_key("Initech LLC", None) == "initech llc"
def test_empty_host_falls_back_to_name(self) -> None:
# Malformed URL with empty hostname
result = _company_key("BadCo", "://no-host")
assert result == "badco"
def test_empty_name_and_no_website_returns_unknown(self) -> None:
assert _company_key("", None) == "unknown"
def test_subpath_ignored(self) -> None:
assert _company_key("X", "https://x.example.com/jobs/42") == "x.example.com"
# ---------------------------------------------------------------------------
# Database.init_schema / open
# ---------------------------------------------------------------------------
class TestDatabaseSchema:
def test_creates_tables(self, tmp_path: Path) -> None:
db = _db(tmp_path)
try:
cur = db._conn.execute(
"SELECT name FROM sqlite_master WHERE type='table' ORDER BY name"
)
tables = {r[0] for r in cur.fetchall()}
assert "companies" in tables
assert "jobs" in tables
finally:
db.close()
def test_idempotent_schema(self, tmp_path: Path) -> None:
"""Opening the same DB twice must not raise."""
db1 = Database(path=tmp_path / "idempotent.db")
db1.close()
db2 = Database(path=tmp_path / "idempotent.db")
db2.close()
def test_parent_dirs_created(self, tmp_path: Path) -> None:
nested = tmp_path / "a" / "b" / "c" / "test.db"
db = Database(path=nested)
try:
assert nested.exists()
finally:
db.close()
def test_context_manager(self, tmp_path: Path) -> None:
with Database(path=tmp_path / "cm.db") as db:
assert not db.is_seen("x")
# ---------------------------------------------------------------------------
# is_seen / dedup
# ---------------------------------------------------------------------------
class TestIsSeeen:
def test_unseen_job_returns_false(self, tmp_path: Path) -> None:
with _db(tmp_path) as db:
assert not db.is_seen("99999")
def test_seen_after_persist(self, tmp_path: Path) -> None:
with _db(tmp_path) as db:
r = _result(job_id="42")
db.persist_result(r)
assert db.is_seen("42")
def test_different_job_ids_independent(self, tmp_path: Path) -> None:
with _db(tmp_path) as db:
db.persist_result(_result(job_id="1"))
assert db.is_seen("1")
assert not db.is_seen("2")
# ---------------------------------------------------------------------------
# company_key_for
# ---------------------------------------------------------------------------
class TestCompanyKeyFor:
def test_delegates_to_pure_fn(self, tmp_path: Path) -> None:
with _db(tmp_path) as db:
assert db.company_key_for("Acme", "https://acme.com") == "acme.com"
assert db.company_key_for("Foo LLC", None) == "foo llc"
# ---------------------------------------------------------------------------
# get_cached_career_url
# ---------------------------------------------------------------------------
class TestCachedCareerUrl:
def test_miss_returns_none(self, tmp_path: Path) -> None:
with _db(tmp_path) as db:
assert db.get_cached_career_url("acme.com") is None
def test_hit_after_persist(self, tmp_path: Path) -> None:
with _db(tmp_path) as db:
r = _result(job_id="1", website="https://acme.com", career_url="https://acme.com/careers")
db.persist_result(r)
assert db.get_cached_career_url("acme.com") == "https://acme.com/careers"
def test_null_career_url_not_cached(self, tmp_path: Path) -> None:
with _db(tmp_path) as db:
r = _result(job_id="1", career_url=None, status=JobStatus.needs_review)
db.persist_result(r)
assert db.get_cached_career_url("acme.com") is None
# ---------------------------------------------------------------------------
# upsert_company COALESCE / first_seen preservation
# ---------------------------------------------------------------------------
class TestUpsertCompany:
def test_insert_then_null_fill(self, tmp_path: Path) -> None:
"""A NULL value in the second upsert fills the existing NULL without error."""
with _db(tmp_path) as db:
db.upsert_company("x.com", "X", None, None)
db.upsert_company("x.com", "X", "https://x.com", "https://x.com/careers")
row = db._conn.execute(
"SELECT website, career_url FROM companies WHERE company_key='x.com'"
).fetchone()
assert row["website"] == "https://x.com"
assert row["career_url"] == "https://x.com/careers"
def test_existing_value_not_clobbered(self, tmp_path: Path) -> None:
"""A second upsert with NULL must not overwrite an existing value."""
with _db(tmp_path) as db:
db.upsert_company("y.com", "Y", "https://y.com", "https://y.com/jobs")
db.upsert_company("y.com", "Y", None, None)
row = db._conn.execute(
"SELECT website, career_url FROM companies WHERE company_key='y.com'"
).fetchone()
assert row["website"] == "https://y.com"
assert row["career_url"] == "https://y.com/jobs"
def test_first_seen_preserved(self, tmp_path: Path) -> None:
with _db(tmp_path) as db:
db.upsert_company("z.com", "Z", None, None)
row1 = db._conn.execute(
"SELECT first_seen FROM companies WHERE company_key='z.com'"
).fetchone()
db.upsert_company("z.com", "Z", "https://z.com", "https://z.com/careers")
row2 = db._conn.execute(
"SELECT first_seen FROM companies WHERE company_key='z.com'"
).fetchone()
assert row1["first_seen"] == row2["first_seen"]
# ---------------------------------------------------------------------------
# persist_result / upsert_job
# ---------------------------------------------------------------------------
class TestPersistResult:
def test_both_tables_populated(self, tmp_path: Path) -> None:
with _db(tmp_path) as db:
r = _result(job_id="10", company_name="Initech", website="https://initech.com")
db.persist_result(r)
job = db._conn.execute(
"SELECT * FROM jobs WHERE job_id='10'"
).fetchone()
assert job is not None
assert job["status"] == "position_found"
company = db._conn.execute(
"SELECT * FROM companies WHERE company_key='initech.com'"
).fetchone()
assert company is not None
assert company["name"] == "Initech"
def test_listed_at_null_stored_as_null(self, tmp_path: Path) -> None:
with _db(tmp_path) as db:
r = _result(job_id="20")
assert r.listed_at is None
db.persist_result(r)
row = db._conn.execute(
"SELECT listed_at FROM jobs WHERE job_id='20'"
).fetchone()
assert row["listed_at"] is None
def test_listed_at_serialized(self, tmp_path: Path) -> None:
with _db(tmp_path) as db:
r = _result(job_id="30")
r.listed_at = datetime(2026, 1, 15, 12, 0, 0, tzinfo=timezone.utc)
db.persist_result(r)
row = db._conn.execute(
"SELECT listed_at FROM jobs WHERE job_id='30'"
).fetchone()
assert row["listed_at"] is not None
assert "2026" in row["listed_at"]
def test_upsert_fills_null_position(self, tmp_path: Path) -> None:
"""A second persist with position_url fills a prior NULL."""
with _db(tmp_path) as db:
r1 = _result(job_id="50", position_url=None, status=JobStatus.needs_review)
db.persist_result(r1)
r2 = _result(job_id="50", position_url="https://acme.com/jobs/1", status=JobStatus.position_found)
db.persist_result(r2)
row = db._conn.execute(
"SELECT position_url, status FROM jobs WHERE job_id='50'"
).fetchone()
assert row["position_url"] == "https://acme.com/jobs/1"
assert row["status"] == "position_found"
def test_job_first_seen_preserved(self, tmp_path: Path) -> None:
with _db(tmp_path) as db:
r = _result(job_id="60", position_url=None, status=JobStatus.needs_review)
db.persist_result(r)
row1 = db._conn.execute(
"SELECT first_seen FROM jobs WHERE job_id='60'"
).fetchone()
r2 = _result(job_id="60", position_url="https://acme.com/jobs/1", status=JobStatus.position_found)
db.persist_result(r2)
row2 = db._conn.execute(
"SELECT first_seen FROM jobs WHERE job_id='60'"
).fetchone()
assert row1["first_seen"] == row2["first_seen"]
# ---------------------------------------------------------------------------
# counts
# ---------------------------------------------------------------------------
class TestCounts:
def test_empty_db(self, tmp_path: Path) -> None:
with _db(tmp_path) as db:
assert db.counts() == {}
def test_counts_grouped_by_status(self, tmp_path: Path) -> None:
with _db(tmp_path) as db:
db.persist_result(_result(job_id="1", status=JobStatus.position_found))
db.persist_result(_result(job_id="2", position_url=None, status=JobStatus.needs_review))
db.persist_result(_result(job_id="3", position_url=None, status=JobStatus.needs_review))
c = db.counts()
assert c["position_found"] == 1
assert c["needs_review"] == 2
# ---------------------------------------------------------------------------
# export_csv
# ---------------------------------------------------------------------------
class TestExportCsv:
def test_header_matches_csv_columns(self, tmp_path: Path) -> None:
with _db(tmp_path) as db:
db.persist_result(_result(job_id="1"))
out = tmp_path / "out.csv"
db.export_csv(path=out)
with out.open() as f:
reader = csv.DictReader(f)
assert tuple(reader.fieldnames or []) == CSV_COLUMNS
def test_null_fields_become_empty_string(self, tmp_path: Path) -> None:
with _db(tmp_path) as db:
r = _result(job_id="1", career_url=None, position_url=None, status=JobStatus.needs_review)
db.persist_result(r)
out = tmp_path / "out.csv"
db.export_csv(path=out)
with out.open() as f:
rows = list(csv.DictReader(f))
assert rows[0]["career_page_url"] == ""
assert rows[0]["open_position_url"] == ""
def test_complete_rows_sorted_first(self, tmp_path: Path) -> None:
with _db(tmp_path) as db:
# Insert incomplete row first, complete row second
db.persist_result(_result(
job_id="1", company_name="ZZZ Corp",
position_url=None, status=JobStatus.needs_review,
))
db.persist_result(_result(
job_id="2", company_name="AAA Inc",
position_url="https://aaa.com/jobs/1", status=JobStatus.position_found,
))
out = tmp_path / "out.csv"
db.export_csv(path=out)
with out.open() as f:
rows = list(csv.DictReader(f))
assert len(rows) == 2
# complete row (AAA Inc) must come first
assert rows[0]["open_position_url"] != ""
assert rows[1]["open_position_url"] == ""
def test_creates_parent_dirs(self, tmp_path: Path) -> None:
with _db(tmp_path) as db:
db.persist_result(_result())
nested = tmp_path / "deep" / "dir" / "results.csv"
db.export_csv(path=nested)
assert nested.exists()
def test_returns_path(self, tmp_path: Path) -> None:
with _db(tmp_path) as db:
db.persist_result(_result())
out = tmp_path / "r.csv"
returned = db.export_csv(path=out)
assert returned == out
# ---------------------------------------------------------------------------
# pipeline.run_batch — offline unit tests via monkeypatch
# ---------------------------------------------------------------------------
def _make_raw(job_id: str, company: str = "Acme") -> RawJob:
return RawJob(
job_id=job_id,
company=company,
linkedin_url=f"https://www.linkedin.com/jobs/view/{job_id}",
website=None,
)
class TestRunBatch:
"""Monkeypatched run_batch tests — no network, no real providers."""
def _patch_all(self, monkeypatch, raw_jobs: list[RawJob]) -> None:
"""Patch all external I/O in pipeline so tests run offline."""
from jobsource.careers.cascade import CareersResult
# Fake job source
fake_source = MagicMock()
fake_source.fetch_recent_jobs.return_value = raw_jobs
monkeypatch.setattr("jobsource.pipeline._make_source", lambda _: fake_source)
# Fake resolve: always succeeds
monkeypatch.setattr(
"jobsource.pipeline.resolve_website",
lambda name, website=None, *, client=None: f"https://{name.lower().replace(' ', '')}.com",
)
# Fake cascade: returns a careers URL + free position shortcut
def _fake_careers(website, *, company_name=None, client=None):
return CareersResult(
careers_url=f"{website}/careers",
confidence=0.95,
method="ats:greenhouse",
position_url=f"{website}/careers/jobs/1",
)
monkeypatch.setattr("jobsource.pipeline.find_careers_page", _fake_careers)
# extract_open_position shouldn't be called (shortcut covers it),
# but patch defensively to detect if it is.
monkeypatch.setattr(
"jobsource.pipeline.extract_open_position",
lambda url, *, client=None: (None, "none"),
)
# build_client — return a context-manager stub
cm = MagicMock()
cm.__enter__ = lambda s: MagicMock()
cm.__exit__ = MagicMock(return_value=False)
monkeypatch.setattr("jobsource.pipeline.build_client", lambda: cm)
def test_new_jobs_processed(self, tmp_path: Path, monkeypatch) -> None:
from jobsource.pipeline import run_batch
# Use distinct company names so each job gets its own company_key (no cache sharing).
raw = [_make_raw("1", company="Alpha"), _make_raw("2", company="Beta")]
self._patch_all(monkeypatch, raw)
db = Database(path=tmp_path / "t.db")
summary = run_batch(batch_size=5, search_terms=["eng"], db=db)
assert summary.fetched == 2
assert summary.new == 2
assert summary.already_seen == 0
assert summary.website_resolved == 2
assert summary.careers_found == 2
assert summary.position_found == 2
assert summary.failed == 0
assert summary.coverage == 1.0
def test_cross_run_dedup(self, tmp_path: Path, monkeypatch) -> None:
"""Re-running with the same DB yields new == 0 (dedup proven)."""
from jobsource.pipeline import run_batch
raw = [_make_raw("10", company="Gamma"), _make_raw("11", company="Delta")]
self._patch_all(monkeypatch, raw)
db = Database(path=tmp_path / "dedup.db")
# First run
s1 = run_batch(batch_size=5, search_terms=["eng"], db=db)
assert s1.new == 2
# Second run — same raw jobs returned by source, but DB already has them
s2 = run_batch(batch_size=5, search_terms=["eng"], db=db)
assert s2.new == 0
assert s2.already_seen == 2
def test_batch_size_cap(self, tmp_path: Path, monkeypatch) -> None:
"""Only batch_size new jobs are processed even if more are available."""
from jobsource.pipeline import run_batch
# Distinct companies to avoid career-URL cache sharing across jobs.
raw = [_make_raw(str(i), company=f"Co{i}") for i in range(10)]
self._patch_all(monkeypatch, raw)
db = Database(path=tmp_path / "cap.db")
summary = run_batch(batch_size=3, search_terms=["eng"], db=db)
assert summary.new == 3
assert summary.position_found == 3
def test_resolve_failure_marks_needs_review(self, tmp_path: Path, monkeypatch) -> None:
"""Jobs where resolve_website returns None get needs_review, not failed."""
from jobsource.pipeline import run_batch
raw = [_make_raw("99")]
self._patch_all(monkeypatch, raw)
# Override resolve to return None (unresolvable)
monkeypatch.setattr(
"jobsource.pipeline.resolve_website",
lambda *a, **kw: None,
)
db = Database(path=tmp_path / "nr.db")
summary = run_batch(batch_size=5, search_terms=["eng"], db=db)
assert summary.needs_review == 1
assert summary.failed == 0
assert summary.website_resolved == 0
def test_csv_written_after_batch(self, tmp_path: Path, monkeypatch) -> None:
"""Data is persisted by run_batch and export_csv produces the right columns."""
from jobsource.pipeline import run_batch
raw = [_make_raw("7", company="SevenCo")]
self._patch_all(monkeypatch, raw)
csv_path = tmp_path / "out.csv"
# Pass db explicitly so own_db=False → database is NOT closed by run_batch.
db = Database(path=tmp_path / "t.db")
run_batch(batch_size=5, search_terms=["eng"], db=db)
# Export to a controlled path and verify the header/contract.
db.export_csv(path=csv_path)
assert csv_path.exists()
with csv_path.open() as f:
reader = csv.DictReader(f)
assert tuple(reader.fieldnames or []) == CSV_COLUMNS
def test_one_failure_does_not_abort_batch(self, tmp_path: Path, monkeypatch) -> None:
"""A cascade exception for one company doesn't abort others.
Cascade errors land in needs_review (not failed — they are recoverable/transient).
Each job has a distinct company so cache cannot mask the flaky call.
"""
from jobsource.pipeline import run_batch
from jobsource.careers.cascade import CareersResult
# Distinct companies → distinct company_keys → no cache sharing.
raw = [
_make_raw("A", company="AlphaCo"),
_make_raw("B", company="BetaCo"),
_make_raw("C", company="GammaCo"),
]
self._patch_all(monkeypatch, raw)
call_count = {"n": 0}
def _flaky_careers(website, *, company_name=None, client=None):
call_count["n"] += 1
if call_count["n"] == 2:
raise RuntimeError("simulated cascade crash")
return CareersResult(
careers_url=f"{website}/careers",
confidence=0.9,
method="url_pattern",
position_url=f"{website}/careers/jobs/1",
)
monkeypatch.setattr("jobsource.pipeline.find_careers_page", _flaky_careers)
db = Database(path=tmp_path / "fault.db")
summary = run_batch(batch_size=5, search_terms=["eng"], db=db)
# All 3 attempted; cascade exception → needs_review (not failed); 2 fully resolved.
assert summary.new == 3
assert summary.needs_review == 1
assert summary.failed == 0
assert summary.position_found == 2