support screencasting to dynamically created service via nginx (k8s only thus far)
add crawl /watch endpoint to enable watching, creates service if doesn't exist
add crawl /running endpoint to check if crawl is running
nginx auth check in place, but not yet enabled
add k8s nginx.conf
add missing chart files
file reorg: move docker config to configs/
k8s: add readiness check for nginx and api containers for smoother reloading
ensure service deleted along with job
todo: update dockerman with screencast support
- Add default vs custom (s3) storage
- K8S: All storages correspond to secrets
- K8S: Default storages inited via helm
- K8S: Custom storage results in custom secret (per archive)
- K8S: Don't add secret per crawl config
- API for changing storage per archive
- Docker: default storage just hard-coded from env vars (only one for now)
- Validate custom storage via aiobotocore before confirming
- Data Model: remove usage from users
- Data Model: support adding multiple files per crawl for parallel crawls
- Data Model: track completions for parallel crawls
- Data Model: initial support for tags per crawl, add collection as 'coll' tag
README fixes
- supported in both docker and k8s
- additional pods with same job id automatically use same crawl state in redis
- support dynamic scaling (#2) via /scale endpoint - k8s job parallelism adjusted dynamically for running job (only supported in k8s so far)
- run as child process using aioprocessing
- cleanup: support cleanup of orphaned containers
- timeout: support crawlTimeout via check in cleanup loop
- support crawl listing + crawl stopping
- support for creating, deleting crawlconfigs, running crawls on-demand
- config stored in volume
- list to docker events and clean up containers when they exit
allow crawl complete/partial complete to update existing crawl state, eg. timeout
enable handling backofflimitexceeded / deadlineexceeded failure, with possible success able to override the failure state
filter out only active jobs in running crawls listing
