* implement a logging proxy
The logging proxy:
- prevents the need to import chronicles (as well as export except toJson),
- prevents the need to override `writeValue` or use or import nim-json-seralization elsewhere in the codebase, allowing for sole use of utils/json for de/serialization,
- and handles json formatting correctly in chronicles json sinks
* Rename logging -> logutils to avoid ambiguity with common names
* clean up
* add setProperty for JsonRecord, remove nim-json-serialization conflict
* Allow specifying textlines and json format separately
Not specifying a LogFormat will apply the formatting to both textlines and json sinks.
Specifying a LogFormat will apply the formatting to only that sink.
* remove unneeded usages of std/json
We only need to import utils/json instead of std/json
* move serialization from rest/json to utils/json so it can be shared
* fix NoColors ambiguity
Was causing unit tests to fail on Windows.
* Remove nre usage to fix Windows error
Windows was erroring with `could not load: pcre64.dll`. Instead of fixing that error, remove the pcre usage :)
* Add logutils module doc
* Shorten logutils.formatIt for `NBytes`
Both json and textlines formatIt were not needed, and could be combined into one formatIt
* remove debug integration test config
debug output and logformat of json for integration test logs
* Use ## module doc to support docgen
* bump nim-poseidon2 to export fromBytes
Before the changes in this branch, fromBytes was likely being resolved by nim-stew, or other dependency. With the changes in this branch, that dependency was removed and fromBytes could no longer be resolved. By exporting fromBytes from nim-poseidon, the correct resolution is now happening.
* fixes to get compiling after rebasing master
* Add support for Result types being logged using formatIt
* implement a logging proxy
The logging proxy:
- prevents the need to import chronicles (as well as export except toJson),
- prevents the need to override `writeValue` or use or import nim-json-seralization elsewhere in the codebase, allowing for sole use of utils/json for de/serialization,
- and handles json formatting correctly in chronicles json sinks
* Rename logging -> logutils to avoid ambiguity with common names
* clean up
* add setProperty for JsonRecord, remove nim-json-serialization conflict
* Allow specifying textlines and json format separately
Not specifying a LogFormat will apply the formatting to both textlines and json sinks.
Specifying a LogFormat will apply the formatting to only that sink.
* remove unneeded usages of std/json
We only need to import utils/json instead of std/json
* move serialization from rest/json to utils/json so it can be shared
* fix NoColors ambiguity
Was causing unit tests to fail on Windows.
* Remove nre usage to fix Windows error
Windows was erroring with `could not load: pcre64.dll`. Instead of fixing that error, remove the pcre usage :)
* Add logutils module doc
* Shorten logutils.formatIt for `NBytes`
Both json and textlines formatIt were not needed, and could be combined into one formatIt
* remove debug integration test config
debug output and logformat of json for integration test logs
* Use ## module doc to support docgen
* Add get active slot /slots/{slotId} to REST api, use utils/json
- Add endpoint /slots/{slotId} to get an active SalesAgent from the Sales module. Used in integration tests to test when a sale has reached a certain state. Those integration test changes will be included in a larger PR, coming later.
- Add OpenAPI changes for new endpoint and associated components
- Use utils/json instead of nim-json-serialization. Required exemption of imports from several packages that export nim-json-serialization by default.
* Only except `toJson` from import/export of chronicles
* use str on JString types, `$` will preserve `"`
* Adding enum support
* deserialize cid test
* make enum descerializer public
* unify fromJson for objects and refs
* add enum descerialization testing
## Problem
When Availabilities are created, the amount of bytes in the Availability are reserved in the repo, so those bytes on disk cannot be written to otherwise. When a request for storage is received by a node, if a previously created Availability is matched, an attempt will be made to fill a slot in the request (more accurately, the request's slots are added to the SlotQueue, and eventually those slots will be processed). During download, bytes that were reserved for the Availability were released (as they were written to disk). To prevent more bytes from being released than were reserved in the Availability, the Availability was marked as used during the download, so that no other requests would match the Availability, and therefore no new downloads (and byte releases) would begin. The unfortunate downside to this, is that the number of Availabilities a node has determines the download concurrency capacity. If, for example, a node creates a single Availability that covers all available disk space the operator is willing to use, that single Availability would mean that only one download could occur at a time, meaning the node could potentially miss out on storage opportunities.
## Solution
To alleviate the concurrency issue, each time a slot is processed, a Reservation is created, which takes size (aka reserved bytes) away from the Availability and stores them in the Reservation object. This can be done as many times as needed as long as there are enough bytes remaining in the Availability. Therefore, concurrent downloads are no longer limited by the number of Availabilities. Instead, they would more likely be limited to the SlotQueue's `maxWorkers`.
From a database design perspective, an Availability has zero or more Reservations.
Reservations are persisted in the RepoStore's metadata, along with Availabilities. The metadata store key path for Reservations is ` meta / sales / reservations / <availabilityId> / <reservationId>`, while Availabilities are stored one level up, eg `meta / sales / reservations / <availabilityId> `, allowing all Reservations for an Availability to be queried (this is not currently needed, but may be useful when work to restore Availability size is implemented, more on this later).
### Lifecycle
When a reservation is created, its size is deducted from the Availability, and when a reservation is deleted, any remaining size (bytes not written to disk) is returned to the Availability. If the request finishes, is cancelled (expired), or an error occurs, the Reservation is deleted (and any undownloaded bytes returned to the Availability). In addition, when the Sales module starts, any Reservations that are not actively being used in a filled slot, are deleted.
Having a Reservation persisted until after a storage request is completed, will allow for the originally set Availability size to be reclaimed once a request contract has been completed. This is a feature that is yet to be implemented, however the work in this PR is a step in the direction towards enabling this.
### Unknowns
Reservation size is determined by the `StorageAsk.slotSize`. If during download, more bytes than `slotSize` are attempted to be downloaded than this, then the Reservation update will fail, and the state machine will move to a `SaleErrored` state, deleting the Reservation. This will likely prevent the slot from being filled.
### Notes
Based on #514
* Improve integration testing client (CodexClient) and json serialization
The current client used for integration testing against the REST endpoints for Codex accepts and passes primitive types. This caused a hard to diagnose bug where a `uint` was not being deserialized correctly.
In addition, the json de/serializing done between the CodexClient and REST client was not easy to read and was not tested.
These changes bring non-primitive types to most of the CodexClient functions, allowing us to lean on the compiler to ensure we're providing correct typings. More importantly, a json de/serialization util was created as a drop-in replacement for the std/json lib, with the main two differences being that field serialization is opt-in (instead of opt-out as in the case of json_serialization) and serialization errors are captured and logged, making debugging serialization issues much easier.
* Update integration test to use nodes=2 and tolerance=1
* clean up
Eric
markspanbroek
Dmitriy Ryajov