|
documentation
|
b651e06c10
TG-37: Backend preparation and data exposure for macronutrients
|
3 minggu lalu |
|
static
|
0d46c04a30
TG-28: Parse open dataset and design SQLite schema (USDA SR Legacy ingestion)
|
3 minggu lalu |
|
.gitignore
|
a77dd593e1
TG-28 TG-31: Add DB drop utility, API verification script, update project commit protocol docs, secure users.txt from tracking
|
4 minggu lalu |
|
DOCUMENTATION_CHECKLIST.md
|
458c00aa4b
TG-11: Implement secure local SQLite sessions, bcrypt login, and Llama3.1 chat streaming endpoint
|
1 bulan lalu |
|
Metadata_Tags_UX_Mapping.md
|
4244f7e81d
TG-29 TG-28: Add UX metadata mapping doc and fix seeding parser indentation
|
4 minggu lalu |
|
PROJECT_CONTEXT.md
|
a77dd593e1
TG-28 TG-31: Add DB drop utility, API verification script, update project commit protocol docs, secure users.txt from tracking
|
4 minggu lalu |
|
api_verify.py
|
a77dd593e1
TG-28 TG-31: Add DB drop utility, API verification script, update project commit protocol docs, secure users.txt from tracking
|
4 minggu lalu |
|
database.py
|
b651e06c10
TG-37: Backend preparation and data exposure for macronutrients
|
3 minggu lalu |
|
drop_foods.py
|
a77dd593e1
TG-28 TG-31: Add DB drop utility, API verification script, update project commit protocol docs, secure users.txt from tracking
|
4 minggu lalu |
|
main.py
|
b651e06c10
TG-37: Backend preparation and data exposure for macronutrients
|
3 minggu lalu |
|
mega_seed_usda.py
|
0d46c04a30
TG-28: Parse open dataset and design SQLite schema (USDA SR Legacy ingestion)
|
3 minggu lalu |
|
nutrition.csv
|
065bd4a6ee
TG-35: Equip Llama 3.1 8B with local SQL RAG lookup tools for verified nutritional context
|
4 minggu lalu |
|
requirements.txt
|
458c00aa4b
TG-11: Implement secure local SQLite sessions, bcrypt login, and Llama3.1 chat streaming endpoint
|
1 bulan lalu |
|
seed_food_db.py
|
6ccf0f978a
TG-28: Expand nutrition dataset to 142 foods (add tuna, seafood, fruit, veg, dairy) and fix seeder table init
|
4 minggu lalu |
|
user_stories.md
|
458c00aa4b
TG-11: Implement secure local SQLite sessions, bcrypt login, and Llama3.1 chat streaming endpoint
|
1 bulan lalu |
|
verify_search.py
|
6ccf0f978a
TG-28: Expand nutrition dataset to 142 foods (add tuna, seafood, fruit, veg, dairy) and fix seeder table init
|
4 minggu lalu |
FerRo988
b651e06c10
TG-37: Backend preparation and data exposure for macronutrients