Commit Graph

6 Commits

Author SHA1 Message Date
62a4008c29 feat: integration of pipeline hooks into testing 2026-01-31 09:46:44 +01:00
Daniel Alves Rösel
f2271e368e 34 initial discriminator of interaction data (#38)
* feat: training pipeline + tensorboard

* tesnorboard forgot

* chore: ml basic boilerplate

* feat: naive architecture as start

* eval setup

* chore: parquet exporting of data

* chore: updating requirements necesary

* feat: separating modules and adding training logs paths

* Update experiments/ml/train.py

Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>

* fix: new path for runs

* fix: undoing ai slop code

* chore: modules and reqs

---------

Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
2025-12-14 18:58:42 +01:00
Daniel Alves Rösel
ef98141ca8 Catchup airline (#31)
* chore: update provider and pricing snitch with agnostic system

* cloning pipelines per mode instance

* updating airline hero section

* fix: must keep airflow secretkey

* fix: fixture update to hotel not shop

* chore: refactored to factory design pattern of pipelines

* chore: clean up definition of composite class of providers
2025-12-11 21:56:12 +01:00
Daniel Alves Rösel
8751583764 Improving interface after experiment01 (#30)
* fix: fixes of backwords

* fixing hotel information with image placeholders

* chore: clean up product display in hotel and cleaner interfacing

* adding loader with historical data loading

* feature: cleaning up pipeline

* chore: simple surge pricer

* created new pricing pipeline

* adding a checkout page to both sites

* fix: fixing stale pacakge

* test: we wont be using elasticity anymore so its okay

* chore: cleaning elasticity references

* chore: store sting

* feature: e2e intro pipline surge pricing

* fix: CVE vulnerability patching
2025-12-06 17:47:14 +01:00
d654bbf4b4 static price reading 2025-11-29 20:13:38 +01:00
Daniel Alves Rösel
ad9423bf59 Airflow addition (#28)
* introducing airflow to run pipeline

* chore: updating dag with upload to registry

* introducing complete provider (non refactored and noisy)

* chore: removing old shit

* generic pricing baselines

* feature: super simple model registry (to be updated maybe third party OS software)

* chore: refactoring the providers docker config and requirements

* chore: refactored and broke down components (braking

* exporting all

* local pipeline excution working

* fix: fixing import structures from nonrelativistic

* chore: enables cross comm pickling with fully e2e pipeline compilation

* docs: what the pipeline is like now

* pipelines local running and pipeline high level definition

* cleaning old pipeline and vectorization

* leaked but fixing, not so important

* test: started with pipeline step testing

* chore: cleaning up provider of prices

* test: extra tests wit hsemantic meaning checks

* migrating pricers

* feature: introducing pricing predictors (pricers)

* chore: e2e is done with new pipeline

* extra session feature extraction

* feature: experiemntal sessin pricer and metrics(vibe)

* chore: redefined and connected pricers (#29)
2025-11-29 17:50:16 +01:00