GEN-68: Capture source errors when converting Error to Report

[TimDiekmann]

🌟 What is the purpose of this PR?

It's desired that source errors of Error are printed as part of a Report as well.

🔗 Related links

• Closes GEN-68: .into_report() doesn't include error source chains #2127

🔍 What does this change?

• Adds a hidden __source method to Context to close the gap between Context and Error. This allows using Error::source without specialization.
• Add contexts for sources returned from Error::source to the Report when creating it

Pre-Merge Checklist 🚀

🚢 Has this modified a publishable library?

This PR:

• does not modify any publishable blocks or libraries, or modifications do not need publishing

📜 Does this require a change to the docs?

The changes in this PR:

• are internal and do not require a docs change

🕸️ Does this require a change to the Turbo Graph?

The changes in this PR:

• do not affect the execution graph

[codecov]

Codecov Report

Attention: Patch coverage is 22.22222% with 28 lines in your changes missing coverage. Please review.

Project coverage is 20.19%. Comparing base (34122de) to head (eb539f3).
Report is 732 commits behind head on main.

Files with missing lines	Patch %	Lines
libs/error-stack/src/report.rs	13.33%	13 Missing ⚠️
libs/error-stack/src/context.rs	20.00%	12 Missing ⚠️
libs/error-stack/src/result.rs	50.00%	3 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #4678      +/-   ##
==========================================
- Coverage   20.20%   20.19%   -0.02%     
==========================================
  Files         457      457              
  Lines       15718    15747      +29     
  Branches     2378     2378              
==========================================
+ Hits         3176     3180       +4     
- Misses      12501    12526      +25     
  Partials       41       41              

Flag	Coverage Δ
error-stack	75.62% <22.22%> (-0.67%)	⬇️

Flags with carried forward coverage won't be shown. Click here to find out more.

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[github-actions]

Benchmark results

@rust/graph-benches – Integrations

representative_read_multiple_entities

Function	Value	Mean	Flame graphs
entity_by_property	depths: DT=0, PT=0, ET=0, E=0	$$35.8 \mathrm{ms} \pm 204 \mathrm{μs}\left({\color{gray}-0.506 \mathrm{\%}}\right) $$	Flame Graph
entity_by_property	depths: DT=255, PT=255, ET=255, E=255	$$2.85 \mathrm{s} \pm 8.08 \mathrm{ms}\left({\color{gray}0.397 \mathrm{\%}}\right) $$	Flame Graph
entity_by_property	depths: DT=0, PT=2, ET=2, E=2	$$973 \mathrm{ms} \pm 3.48 \mathrm{ms}\left({\color{gray}-2.257 \mathrm{\%}}\right) $$	Flame Graph
entity_by_property	depths: DT=0, PT=0, ET=2, E=2	$$356 \mathrm{ms} \pm 1.52 \mathrm{ms}\left({\color{gray}-2.420 \mathrm{\%}}\right) $$	Flame Graph
entity_by_property	depths: DT=0, PT=0, ET=0, E=2	$$39.6 \mathrm{ms} \pm 197 \mathrm{μs}\left({\color{gray}-1.583 \mathrm{\%}}\right) $$	Flame Graph
entity_by_property	depths: DT=2, PT=2, ET=2, E=2	$$980 \mathrm{ms} \pm 4.28 \mathrm{ms}\left({\color{gray}0.432 \mathrm{\%}}\right) $$	Flame Graph
link_by_source_by_property	depths: DT=0, PT=0, ET=0, E=0	$$37.6 \mathrm{ms} \pm 297 \mathrm{μs}\left({\color{gray}-0.123 \mathrm{\%}}\right) $$	Flame Graph
link_by_source_by_property	depths: DT=255, PT=255, ET=255, E=255	$$1.99 \mathrm{s} \pm 10.9 \mathrm{ms}\left({\color{gray}1.24 \mathrm{\%}}\right) $$	Flame Graph
link_by_source_by_property	depths: DT=0, PT=2, ET=2, E=2	$$1.03 \mathrm{s} \pm 4.95 \mathrm{ms}\left({\color{gray}0.725 \mathrm{\%}}\right) $$	Flame Graph
link_by_source_by_property	depths: DT=0, PT=0, ET=2, E=2	$$394 \mathrm{ms} \pm 1.18 \mathrm{ms}\left({\color{gray}-0.365 \mathrm{\%}}\right) $$	Flame Graph
link_by_source_by_property	depths: DT=0, PT=0, ET=0, E=2	$$73.4 \mathrm{ms} \pm 490 \mathrm{μs}\left({\color{gray}-0.988 \mathrm{\%}}\right) $$	Flame Graph
link_by_source_by_property	depths: DT=2, PT=2, ET=2, E=2	$$1.02 \mathrm{s} \pm 2.50 \mathrm{ms}\left({\color{gray}1.07 \mathrm{\%}}\right) $$	Flame Graph

scaling_read_entity_linkless

Function	Value	Mean	Flame graphs
entity_by_id	1 entities	$$1.83 \mathrm{ms} \pm 5.83 \mathrm{μs}\left({\color{gray}0.780 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	10000 entities	$$12.9 \mathrm{ms} \pm 138 \mathrm{μs}\left({\color{gray}-2.238 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	10 entities	$$1.84 \mathrm{ms} \pm 6.79 \mathrm{μs}\left({\color{gray}0.144 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	1000 entities	$$2.76 \mathrm{ms} \pm 13.2 \mathrm{μs}\left({\color{gray}0.150 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	100 entities	$$2.03 \mathrm{ms} \pm 9.86 \mathrm{μs}\left({\color{gray}0.340 \mathrm{\%}}\right) $$	Flame Graph

representative_read_entity_type

Function	Value	Mean	Flame graphs
get_entity_type_by_id	Account ID: d4e16033-c281-4cde-aa35-9085bf2e7579	$$1.40 \mathrm{ms} \pm 4.82 \mathrm{μs}\left({\color{gray}-0.338 \mathrm{\%}}\right) $$	Flame Graph

representative_read_entity

Function	Value	Mean	Flame graphs
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/block/v/1	$$16.3 \mathrm{ms} \pm 180 \mathrm{μs}\left({\color{red}7.26 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/song/v/1	$$16.5 \mathrm{ms} \pm 194 \mathrm{μs}\left({\color{gray}3.14 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/playlist/v/1	$$16.4 \mathrm{ms} \pm 181 \mathrm{μs}\left({\color{gray}0.492 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/building/v/1	$$16.1 \mathrm{ms} \pm 211 \mathrm{μs}\left({\color{gray}-0.788 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/uk-address/v/1	$$15.4 \mathrm{ms} \pm 226 \mathrm{μs}\left({\color{lightgreen}-7.054 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/organization/v/1	$$16.4 \mathrm{ms} \pm 205 \mathrm{μs}\left({\color{gray}-2.280 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/person/v/1	$$15.8 \mathrm{ms} \pm 182 \mathrm{μs}\left({\color{gray}-0.669 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/page/v/2	$$16.1 \mathrm{ms} \pm 190 \mathrm{μs}\left({\color{red}10.3 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/book/v/1	$$16.1 \mathrm{ms} \pm 159 \mathrm{μs}\left({\color{gray}-2.179 \mathrm{\%}}\right) $$	Flame Graph

scaling_read_entity_complete_zero_depth

Function	Value	Mean	Flame graphs
entity_by_id	25 entities	$$2.57 \mathrm{ms} \pm 12.2 \mathrm{μs}\left({\color{lightgreen}-12.409 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	1 entities	$$1.86 \mathrm{ms} \pm 7.94 \mathrm{μs}\left({\color{gray}0.246 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	10 entities	$$2.01 \mathrm{ms} \pm 8.79 \mathrm{μs}\left({\color{gray}-4.957 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	50 entities	$$3.91 \mathrm{ms} \pm 23.5 \mathrm{μs}\left({\color{lightgreen}-6.960 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	5 entities	$$1.90 \mathrm{ms} \pm 9.55 \mathrm{μs}\left({\color{gray}0.721 \mathrm{\%}}\right) $$	Flame Graph

scaling_read_entity_complete_one_depth

Function	Value	Mean	Flame graphs
entity_by_id	25 entities	$$76.3 \mathrm{ms} \pm 496 \mathrm{μs}\left({\color{gray}0.770 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	1 entities	$$19.7 \mathrm{ms} \pm 82.7 \mathrm{μs}\left({\color{gray}-1.554 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	10 entities	$$30.2 \mathrm{ms} \pm 132 \mathrm{μs}\left({\color{gray}0.008 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	50 entities	$$1.55 \mathrm{s} \pm 4.63 \mathrm{ms}\left({\color{red}464 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	5 entities	$$24.4 \mathrm{ms} \pm 381 \mathrm{μs}\left({\color{gray}2.15 \mathrm{\%}}\right) $$	Flame Graph

[indietyp]

LGTM, thank you!