a464e550c9
Full-stack implementation of the Cyberyan full-stack trial task. Backend (Django 5 / DRF) - Normalised PostgreSQL model (Profile, Company, School, Skill, Experience, Education) as the source of truth, with GIN + trigram indexes. - Self-healing CSV reader: the supplied export carries an injected watermark column, missing columns, rows split by broken quoting and a duplicated header. A signature-scored Needleman-Wunsch alignment reconstructs 284 clean records out of 336 physical rows; only 10 rows parse correctly without it. - Pluggable search layer (Strategy): Elasticsearch by default, PostgreSQL full-text search as a fallback selected by a single environment variable. - Keyword search with per-field boosts, fuzziness and phrase boosting, six faceted filters (OR within a filter, AND across filters), an experience range, four sort orders, highlighting and facet aggregations. - JWT auth with rotation + blacklist, three roles, PII masking, scoped rate limits, a single error envelope, OpenAPI schema and health probes. Frontend (React 18 / TypeScript / Vite) - Debounced search with type-ahead, faceted filter panel, result cards, profile drawer, URL-synced search state, automatic token refresh. - Highlight snippets rendered without dangerouslySetInnerHTML. Infrastructure - Hardened multi-stage images (non-root, read-only rootfs, healthchecks). - docker-compose for the full stack plus dev and production overlays. - ELK: structured JSON logs shipped asynchronously to Logstash, routed per event type, with a composable index template and a Kibana setup script. Quality - 61 backend tests (85% coverage), ruff/black/bandit/mypy, ESLint + tsc, GitHub Actions running lint, tests and both image builds. - Persian documentation: README plus architecture, search, API, data, security and operations guides. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01GnFo6fNaHCTAkJbfcdkqtG
124 lines
4.4 KiB
Python
124 lines
4.4 KiB
Python
"""
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Tests for the self-healing CSV reader.
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Each test reproduces one defect that is actually present in the supplied export
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so a regression in the repair logic fails loudly instead of quietly importing
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garbage.
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"""
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from __future__ import annotations
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import textwrap
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from pathlib import Path
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import pytest
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from apps.profiles.dataset import DatasetReader
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HEADER = (
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"full_name,first_name,last_name,gender,linkedin_url,linkedin_username,linkedin_id,"
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"industry,job_title,job_title_role,job_title_levels,job_company_name,location_name,"
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"location_country,skills,experience,summary"
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)
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def _write(tmp_path: Path, body: str) -> Path:
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path = tmp_path / "sample.csv"
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path.write_text(textwrap.dedent(body).lstrip(), encoding="utf-8")
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return path
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@pytest.fixture
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def read(tmp_path): # noqa: ANN001, ANN201
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def _read(body: str): # noqa: ANN202
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return DatasetReader(_write(tmp_path, body)).read()
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return _read
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def test_clean_row_is_read_verbatim(read) -> None: # noqa: ANN001
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records, report = read(
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f"""
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{HEADER}
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jane doe,jane,doe,female,linkedin.com/in/janedoe,janedoe,123456,software,backend engineer,engineering,"['senior']",acme,"berlin, germany",germany,"['python', 'django']","[{{'company': {{'name': 'acme'}}, 'title': {{'name': 'backend engineer'}}}}]",Loves databases.
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"""
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)
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assert report.records == 1
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record = records[0]
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assert record["full_name"] == "jane doe"
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assert record["job_title_role"] == "engineering"
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assert record["skills"] == "['python', 'django']"
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def test_leading_watermark_column_is_stripped(read) -> None: # noqa: ANN001
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records, _ = read(
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f"""
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{HEADER}
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H:\\New folder\\leak\\linkedin\\@BreachedData1,jane doe,jane,doe,female,linkedin.com/in/janedoe,janedoe,123456,software,backend engineer,engineering,"['senior']",acme,"berlin, germany",germany,"['python']","[]",Hi.
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"""
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)
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assert records[0]["full_name"] == "jane doe"
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assert records[0]["linkedin_url"] == "linkedin.com/in/janedoe"
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def test_missing_column_does_not_shift_the_rest_of_the_row(read) -> None: # noqa: ANN001
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"""``job_title_role`` is absent - every later value must still land right."""
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records, _ = read(
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f"""
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{HEADER}
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jane doe,jane,doe,female,linkedin.com/in/janedoe,janedoe,123456,software,backend engineer,"['senior']",acme,"berlin, germany",germany,"['python']","[]",Hi.
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"""
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)
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record = records[0]
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assert record["job_title_role"] == ""
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assert record["job_title_levels"] == "['senior']"
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assert record["job_company_name"] == "acme"
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assert record["location_country"] == "germany"
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assert record["skills"] == "['python']"
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def test_values_that_fail_their_signature_are_discarded(read) -> None: # noqa: ANN001
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"""A non-URL in the URL column is dropped rather than persisted."""
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records, report = read(
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f"""
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{HEADER}
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jane doe,jane,doe,female,not-a-linkedin-url,janedoe,123456,software,engineer,engineering,"['senior']",acme,"berlin, germany",germany,"['python']","[]",Hi.
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"""
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)
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assert records[0]["linkedin_url"] == ""
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assert report.discarded_values >= 1
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def test_repeated_header_and_duplicate_person_are_removed(read) -> None: # noqa: ANN001
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row = (
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"jane doe,jane,doe,female,linkedin.com/in/janedoe,janedoe,123456,software,engineer,"
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'engineering,"[\'senior\']",acme,"berlin, germany",germany,"[\'python\']","[]",Hi.'
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)
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records, report = read(f"{HEADER}\n{row}\n{HEADER}\n{row}\n")
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assert report.duplicate_headers == 1
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assert report.duplicate_records == 1
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assert len(records) == 1
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def test_row_split_by_a_stray_quote_is_reassembled(read) -> None: # noqa: ANN001
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"""A record cut in half by broken quoting is stitched back together."""
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records, report = read(
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f"""
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{HEADER}
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jane doe,jane,doe,female,linkedin.com/in/janedoe,janedoe,123456,software,engineer
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engineering,"['senior']",acme,"berlin, germany",germany,"['python', 'sql']","[]",Hi.
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"""
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)
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assert len(records) == 1
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assert report.repaired_rows >= 1
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assert records[0]["skills"] == "['python', 'sql']"
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assert records[0]["location_country"] == "germany"
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def test_empty_file_yields_no_records(tmp_path) -> None: # noqa: ANN001
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path = tmp_path / "empty.csv"
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path.write_text("", encoding="utf-8")
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records, report = DatasetReader(path).read()
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assert records == []
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assert report.records == 0
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