feat: add canonical candidate profile output model

src/job_research/models.py

@@ -0,0 +1,37 @@
+from pydantic import BaseModel, Field
+
+
+class ExperienceEntry(BaseModel):
+    company: str
+    title: str
+    start: str | None = None
+    end: str | None = None
+    highlights: list[str] = Field(default_factory=list)
+
+
+class EducationEntry(BaseModel):
+    institution: str
+    credential: str
+    start: str | None = None
+    end: str | None = None
+
+
+class WarningItem(BaseModel):
+    field: str
+    message: str
+
+
+class CandidateProfileOutput(BaseModel):
+    name: str | None = None
+    summary: str | None = None
+    target_roles: list[str] = Field(default_factory=list)
+    strengths: list[str] = Field(default_factory=list)
+    skills_to_emphasize: list[str] = Field(default_factory=list)
+    constraints: list[str] = Field(default_factory=list)
+    notes: list[str] = Field(default_factory=list)
+    location: str | None = None
+    languages: list[str] = Field(default_factory=list)
+    skills: list[str] = Field(default_factory=list)
+    experience_entries: list[ExperienceEntry] = Field(default_factory=list)
+    education_entries: list[EducationEntry] = Field(default_factory=list)
+    warnings: list[WarningItem] = Field(default_factory=list)

src/job_research/storage.py

@@ -0,0 +1,18 @@
+from __future__ import annotations
+
+from pathlib import Path
+from typing import Any
+
+import yaml
+
+from job_research.models import CandidateProfileOutput
+
+
+def save_candidate_profile_yaml(path: Path, profile: CandidateProfileOutput) -> None:
+    path.parent.mkdir(parents=True, exist_ok=True)
+    payload = profile.model_dump(mode="json")
+    path.write_text(yaml.safe_dump(payload, sort_keys=False, allow_unicode=True), encoding="utf-8")
+
+
+def load_yaml(path: Path) -> dict[str, Any]:
+    return yaml.safe_load(path.read_text(encoding="utf-8")) or {}

tests/test_storage.py

@@ -0,0 +1,29 @@
+from job_research.models import CandidateProfileOutput, ExperienceEntry, WarningItem
+from job_research.storage import save_candidate_profile_yaml, load_yaml
+
+
+def test_save_candidate_profile_yaml_round_trips_readable_output(tmp_path) -> None:
+    profile = CandidateProfileOutput(
+        name="Tonio",
+        summary="Junior data engineer focused on Python and GCP.",
+        target_roles=["Data Engineer"],
+        strengths=["Python", "SQL"],
+        skills_to_emphasize=["GCP", "BigQuery"],
+        constraints=["CDI only", "France only"],
+        notes=["Slight preference for French listings."],
+        location="France",
+        languages=["French", "English"],
+        skills=["Python", "SQL", "Terraform", "GCP", "BigQuery"],
+        experience_entries=[ExperienceEntry(company="A", title="Data Engineer")],
+        education_entries=[],
+        warnings=[WarningItem(field="years_of_experience", message="CV and profile disagree.")],
+    )
+
+    out = tmp_path / "candidate-profile.yaml"
+    save_candidate_profile_yaml(out, profile)
+
+    payload = load_yaml(out)
+
+    assert payload["name"] == "Tonio"
+    assert payload["constraints"] == ["CDI only", "France only"]
+    assert payload["warnings"][0]["field"] == "years_of_experience"