bugbug/docker-compose.yml

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version: '3.2'
services:
bugbug-base:
build:
context: .
dockerfile: infra/dockerfile.base
image: mozilla/bugbug-base
bugbug-commit-retrieval:
build:
context: .
dockerfile: infra/dockerfile.commit_retrieval
image: mozilla/bugbug-commit-retrieval
volumes:
- type: bind
source: ./cache/
target: /cache/
volume:
nocopy: true
bugbug-bugs-retrieval:
build:
context: .
dockerfile: infra/dockerfile.bugs_retrieval
image: mozilla/bugbug-bugs-retrieval
environment:
- BUGBUG_BUGZILLA_TOKEN
volumes:
- type: bind
source: ./cache/
target: /cache/
volume:
nocopy: true
bugbug-train-backout:
build:
context: .
dockerfile: infra/dockerfile.train_backout
image: mozilla/bugbug-train-backout
bugbug-train-component:
build:
context: .
dockerfile: infra/dockerfile.train_component
image: mozilla/bugbug-train-component
bugbug-train-defectenhancementtask:
build:
context: .
dockerfile: infra/dockerfile.train_defectenhancementtask
image: mozilla/bugbug-train-defectenhancementtask
bugbug-train-duplicate:
build:
context: .
dockerfile: infra/dockerfile.train_duplicate
image: mozilla/bugbug-train-duplicate
bugbug-train-regression:
build:
context: .
dockerfile: infra/dockerfile.train_regression
image: mozilla/bugbug-train-regression
bugbug-train-regressionrange:
build:
context: .
dockerfile: infra/dockerfile.train_regressionrange
image: mozilla/bugbug-train-regressionrange
bugbug-train-regressor:
build:
context: .
dockerfile: infra/dockerfile.train_regressor
image: mozilla/bugbug-train-regressor
bugbug-train-stepstoreproduce:
build:
context: .
dockerfile: infra/dockerfile.train_stepstoreproduce
image: mozilla/bugbug-train-stepstoreproduce
bugbug-train-tracking:
build:
context: .
dockerfile: infra/dockerfile.train_tracking
image: mozilla/bugbug-train-tracking
bugbug-http-service:
build:
context: http_service
image: mozilla/bugbug-http-service
environment:
- BUGBUG_BUGZILLA_TOKEN
2019-05-23 21:39:02 +03:00
- PORT=8000
ports:
- target: 8000
published: 8000
protocol: tcp
mode: host
bugbug-spawn-data-pipeline:
build:
context: infra/
dockerfile: dockerfile.spawn_data_pipeline
image: mozilla/bugbug-spawn-data-pipeline
Add basic check method and check script (#341) * Add basic check method and check script * Ensure the check of component will correctly use super result * Add required infra to schedule model checks * Add scheduling bits for the model checks * Remove the filtering on classification * Extract counting bugs to a new function in bugzilla.py * Also checks conflated components * Fix new hook id * Call bugzilla with the count_only param to speed up the check * Fix the new hook scope to match the hook id * Fix component model check after previous refactoring * Fix component model check method * Use a bugzilla report for even faster component model check * Clarify get_product_component_count docstring We are already filtering out full component with 0 bugs * Update conflated components mapping check A conflated component could also be part of the conflated components mapping * Distinguish between non-existing full components and empty full components * Remove the filter on resolution and unnecessary url params * Update component check method Keep checks as separate as possible for clarity, we could merge them or makes them faster later * Generate dynamically the CSV report url * Fix Docker image name the hook * Implement component check number 5 Get the meaningful components for the last 6 months * Handle reviews comments * Remove extraneous print * Removes TODO * Use a different threshold ration when checking for new meaningful components As we are only checking new bugs for 6 months, adjust the threshold ration to be less sensitive to occasional burst ob bugs for q given component. * Reduce the threshold ratio As we check on a disjoint time window, reduce the chance of false positives * Handle review nits * Fix last nits
2019-05-10 13:20:23 +03:00
bugbug-spawn-check-pipeline:
build:
context: infra/
dockerfile: dockerfile.spawn_check_pipeline
image: mozilla/bugbug-spawn-check-pipeline