Merge pull request #3 from pyladies/add_occupation

Add occupation field

Author: cmaureir

data/examples/README.md

@@ -21,6 +21,7 @@
     "slug": "a-speaker",
     "submissions": ["A1B2C3"],
     "affiliation": "A Company",
+    "occupation": "An occupation",
     "homepage": "https://example.com",
     "twitter_url": "https://x.com/B4D5E6",
     "linkedin_url": "https://linkedin.com/in/B4D5E6",
@@ -44,6 +45,7 @@
 | `slug`         | `string`           | URL-safe speaker name                                                 |
 | `submissions`  | `array[string]`    | Codes of sessions the speaker is involved in                          |
 | `affiliation`  | `string` \| `null` | Affiliated institution or organization                                |
+| `occupation`   | `string` \| `null` | Position, Job or Occupation                                           |
 | `homepage`     | `string` \| `null` | Personal or professional homepage                                     |
 | `twitter_url`  | `string` \| `null` | Normalized Twitter/X profile URL                                      |
 | `mastodon_url` | `string` \| `null` | Normalized Mastodon profile URL                                       |

data/examples/europython/speakers.json

@@ -7,6 +7,7 @@
     "slug": "a-speaker",
     "submissions": ["A8CD3F"],
     "affiliation": "A Company",
+    "occupation": "An occupation",
     "homepage": null,
     "gitx_url": "https://github.com/f3dc8a",
     "linkedin_url": "https://linkedin.com/in/f3dc8a",

src/misc.py

@@ -3,6 +3,7 @@
 
 class SpeakerQuestion:
     affiliation = "Company/Organization/Educational Institution"
+    occupation: "Position, Job or Occupation"
     homepage = "Social (Homepage)"
     twitter = "Social (X/twitter)"
     bluesky = "Social (Bluesky)"

src/models/europython.py

@@ -26,6 +26,7 @@ class EuroPythonSpeaker(BaseModel):
 
     # Extracted
     affiliation: str | None = None
+    occupation: str | None = None
     homepage: str | None = None
     twitter_url: str | None = None
     mastodon_url: str | None = None
@@ -48,6 +49,9 @@ def extract_answers(cls, values) -> dict:
             if answer.question_text == SpeakerQuestion.affiliation:
                 values["affiliation"] = answer.answer_text
 
+            if answer.question_text == SpeakerQuestion.occupation:
+                values["occupation"] = answer.answer_text
+
             if answer.question_text == SpeakerQuestion.homepage:
                 values["homepage"] = answer.answer_text