chore(amber): drop duplicate praw from requirements.txt

[Yicong-Huang]

What changes were proposed in this PR?

praw==7.6.1 was pinned in two requirements files:

File	Role	Status
amber/requirements.txt	engine / SDK deps	drop the duplicate praw line
amber/operator-requirements.txt	operator-specific deps (where praw belongs — only the Reddit Search operator uses it)	unchanged

Both files are installed sequentially by bin/computing-unit-master.dockerfile and bin/computing-unit-worker.dockerfile, so removing the duplicate is a runtime no-op — pip resolves the single remaining pin from operator-requirements.txt. Lockfile (amber/system-requirements-lock.txt) and LICENSE-binary-python are untouched because praw is still pulled in by the operator file.

Any related issues, documentation, discussions?

Closes #5687

(Supersedes #5688, which was wrongly scoped — that PR proposed to also delete the Reddit Search operator itself. Closed without merging.)

How was this PR tested?

• git diff upstream/main — confirms only the single praw==7.6.1 line is removed from amber/requirements.txt
• grep -rn "praw" amber/ — confirms praw remains pinned in operator-requirements.txt, system-requirements-lock.txt, and LICENSE-binary-python
• No source code uses praw directly (only the Reddit Search operator's generated Python in RedditSearchSourceOpDesc.scala), so the operator continues to work as before with the single remaining pin

Was this PR authored or co-authored using generative AI tooling?

Generated-by: Claude Code (Opus 4.7 [1M context])

[codecov-commenter]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 52.75%. Comparing base (4fd395b) to head (3df0831).

Additional details and impacted files

@@            Coverage Diff            @@
##               main    #5689   +/-   ##
=========================================
  Coverage     52.75%   52.75%           
  Complexity     2546     2546           
=========================================
  Files          1090     1090           
  Lines         42150    42150           
  Branches       4529     4529           
=========================================
  Hits          22238    22238           
  Misses        18589    18589           
  Partials       1323     1323           

Flag	Coverage Δ		*Carryforward flag
access-control-service	71.42% <ø> (ø)		Carriedforward from 4fd395b
agent-service	34.36% <ø> (ø)		Carriedforward from 4fd395b
amber	52.70% <ø> (ø)		Carriedforward from 4fd395b
computing-unit-managing-service	1.65% <ø> (ø)		Carriedforward from 4fd395b
config-service	56.71% <ø> (ø)		Carriedforward from 4fd395b
file-service	57.06% <ø> (ø)		Carriedforward from 4fd395b
frontend	47.86% <ø> (ø)		Carriedforward from 4fd395b
pyamber	90.67% <ø> (-0.05%)	⬇️
python	90.74% <ø> (ø)		Carriedforward from 4fd395b
workflow-compiling-service	58.69% <ø> (ø)		Carriedforward from 4fd395b

*This pull request uses carry forward flags. Click here to find out more.

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[github-actions]

⚠️ Benchmark changes need a look

🟢 0 better · 🔴 12 worse · ⚪ 3 noise (<±5%) · 0 without baseline

CI benchmark results are noisy; treat <±5% as noise unless repeated.

Dashboard · Run

	config	throughput	MB/s	latency	max Δ latest / 7d
🔴	bs=10 sw=10 sl=64	399	0.244	23,323/34,040/34,040 us	🔴 +12.6% / ⚪ within ±5%
🔴	bs=100 sw=10 sl=64	820	0.5	121,520/143,789/143,789 us	🔴 +17.7% / 🔴 +8.9%
🔴	bs=1000 sw=10 sl=64	930	0.568	1,073,987/1,118,744/1,118,744 us	🔴 +20.3% / 🔴 -11.3%

Baseline details

Latest main 4fd395b from 2026-06-13T21:15:43.559Z

config	metric	PR	latest main	7d avg	Δ latest	Δ 7d
bs=10 sw=10 sl=64	throughput	399 tuples/sec	425.86 tuples/sec	411.23 tuples/sec	-6.3%	-3.0%
bs=10 sw=10 sl=64	MB/s	0.244 MB/s	0.26 MB/s	0.251 MB/s	-6.1%	-2.8%
bs=10 sw=10 sl=64	p50	23,323 us	24,156 us	23,773 us	-3.4%	-1.9%
bs=10 sw=10 sl=64	p95	34,040 us	30,243 us	35,177 us	+12.6%	-3.2%
bs=10 sw=10 sl=64	p99	34,040 us	30,243 us	35,177 us	+12.6%	-3.2%
bs=100 sw=10 sl=64	throughput	820 tuples/sec	957.92 tuples/sec	896.95 tuples/sec	-14.4%	-8.6%
bs=100 sw=10 sl=64	MB/s	0.5 MB/s	0.585 MB/s	0.547 MB/s	-14.5%	-8.7%
bs=100 sw=10 sl=64	p50	121,520 us	103,271 us	111,596 us	+17.7%	+8.9%
bs=100 sw=10 sl=64	p95	143,789 us	144,102 us	139,415 us	-0.2%	+3.1%
bs=100 sw=10 sl=64	p99	143,789 us	144,102 us	139,415 us	-0.2%	+3.1%
bs=1000 sw=10 sl=64	throughput	930 tuples/sec	1,118 tuples/sec	1,048 tuples/sec	-16.8%	-11.3%
bs=1000 sw=10 sl=64	MB/s	0.568 MB/s	0.682 MB/s	0.64 MB/s	-16.7%	-11.2%
bs=1000 sw=10 sl=64	p50	1,073,987 us	892,725 us	966,517 us	+20.3%	+11.1%
bs=1000 sw=10 sl=64	p95	1,118,744 us	943,636 us	1,016,694 us	+18.6%	+10.0%
bs=1000 sw=10 sl=64	p99	1,118,744 us	943,636 us	1,016,694 us	+18.6%	+10.0%

Raw CSV

config_idx,batch_size,schema_width,string_len,num_batches,total_ms,total_tuples,total_bytes,tuples_per_sec,mb_per_sec,lat_p50_us,lat_p95_us,lat_p99_us
0,10,10,64,20,500.96,200,128000,399,0.244,23323.40,34039.65,34039.65
1,100,10,64,20,2439.29,2000,1280000,820,0.500,121520.26,143789.08,143789.08
2,1000,10,64,20,21500.27,20000,12800000,930,0.568,1073987.13,1118743.79,1118743.79

[Yicong-Huang]

cc @SarahAsad23