Migrating Yearn Finance's Strategy Template from Brownie to ApeWorx Ape — A DeFi-Specific Case Study

# ethereum# python# tutorial# web3
Migrating Yearn Finance's Strategy Template from Brownie to ApeWorx Ape — A DeFi-Specific Case StudyPugar Huda Mantoro

Migrating Yearn Finance's Strategy Template from Brownie to ApeWorx Ape — A DeFi-Specific...

Migrating Yearn Finance's Strategy Template from Brownie to ApeWorx Ape — A DeFi-Specific Case Study

Codemod "Boring AI" Hackathon · DoraHacks 2026
Source: github.com/PugarHuda/brownie-to-ape
Companion case study: token-mix end-to-end (Medium)


Why pick Yearn?

Of the five OSS Brownie projects I validated this codemod against, yearn/brownie-strategy-mix is the most production-relevant. Yearn Finance is one of the largest yield-aggregation protocols in DeFi, with billions in TVL at peak; this repo is the official template every Yearn strategy developer forks to build a new strategy. If a codemod can clean-migrate this template, it can handle the strategy contracts that followed — and there are dozens of them across forks, partners, and audits.

The template is also intentionally complex: it ships with a multi-network config, mainnet-fork test fixtures, whale-impersonation patterns for testing real-world deposits, and Brownie-specific testing idioms that exercise edge cases the codemod rarely sees in tutorial repos.

This case study walks through the full migration: what the codemod handled, what required manual cleanup, and how the design of the codemod (FN-over-FP, AST-strict guards) interacted with Yearn-shaped code in particular.


The starting point

Cloning the repo:

git clone https://github.com/yearn/brownie-strategy-mix.git
cd brownie-strategy-mix
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Source structure (Python only — Solidity contracts are out of scope):

brownie-strategy-mix/
├── brownie-config.yaml
├── conftest.py
├── tests/
│   ├── test_operation.py
│   ├── test_revoke.py
│   ├── test_emergency_exit.py
│   └── conftest.py
└── scripts/
    └── deploy_strategy.py
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7 Python files, ~600 LOC total. Brownie idioms in use:

  • from brownie import accounts, network, chain, Contract, Wei — most of the standard import surface
  • accounts.at(address, force=True) — the whale-impersonation pattern (Yearn tests deposit large amounts from real holder addresses)
  • chain.sleep(N) and chain.mine(N) — for time-locked exit fees
  • interface.IERC20(addr) — for ERC-20 balance assertions
  • tx.events["Transfer"].values() — for event verification
  • pytest.fixture(autouse=True) def isolate(fn_isolation): pass — Brownie's chain-rewind boilerplate

Running the codemod

npx codemod@latest @pugarhuda/brownie-to-ape -t .
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Output:

💥 Workflow started with ID: ...
 Apply Brownie -> Ape transforms to Python files
{"codemod":"brownie-to-ape","edits":7,"wei_rewritten":true,"unknown_exceptions":[],"rewrote_brownie_attr":false}
{"codemod":"brownie-to-ape","edits":12,"wei_rewritten":false,"unknown_exceptions":[],"rewrote_brownie_attr":true}
{"codemod":"brownie-to-ape","edits":5,"wei_rewritten":false,"unknown_exceptions":[],"rewrote_brownie_attr":false}
{"codemod":"brownie-to-ape","edits":4,"wei_rewritten":false,"unknown_exceptions":[],"rewrote_brownie_attr":false}
 Workflow completed successfully in 3.0s
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Result: 4 of 7 .py files modified, ~33 patterns auto-migrated, 3 seconds.

git diff --stat:

 conftest.py                  | 11 ++++++-----
 scripts/deploy_strategy.py   |  4 ++--
 tests/conftest.py            | 13 ++++++-------
 tests/test_operation.py      | 24 +++++++++++++-----------
 4 files changed, 27 insertions(+), 25 deletions(-)
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What the codemod handled cleanly

1. Imports — multi-line, mixed types

# Before
from brownie import (
    accounts,
    network,
    Contract,
    Wei,
    config,
    chain,
)

# After
from ape import accounts, networks, chain, config
from ape.utils import convert
# TODO(brownie-to-ape): no direct Ape equivalent for: Contract
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Notes:

  • networknetworks rename applied
  • Wei removed from import line because the codemod auto-rewrites Wei(...) to convert(...) and adds the from ape.utils import convert line
  • Contract flagged as a TODO because it's an artifact name — the user must decide whether to use ape.Contract (for arbitrary-address loading) or project.<Name> (for compile-time artifacts). The codemod can't infer this without project schema.

2. The whale-impersonation idiom

# Before
@pytest.fixture
def whale(accounts):
    return accounts.at(WHALE_ADDRESS, force=True)

# After
@pytest.fixture
def whale(accounts):
    return accounts.impersonate_account(WHALE_ADDRESS)
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This is Pass 7b of the codemod — the strict guard requires force=True to be present (bare accounts.at(addr) is a different operation in Ape, used for already-known accounts, and we don't want to over-rewrite). It fired correctly here because the Yearn test pattern always uses force=True for whales.

3. Time and block control

# Before
chain.sleep(WAITING_PERIOD)
chain.mine(1)

# After
chain.pending_timestamp += WAITING_PERIOD
chain.mine(num_blocks=1)
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The chain.sleep rewrite only fires on statement form (Pass 6); if chain.sleep(N) were inside another expression like chain.sleep(N) + something, it would be left alone (FN over FP).

4. tx-dict to kwargs across multi-line deploy calls

# Before
strategy = Strategy.deploy(
    vault,
    strategist,
    {"from": gov, "value": Wei("0.1 ether")},
)

# After
strategy = Strategy.deploy(
    vault,
    strategist,
    sender=gov,
    value=convert("0.1 ether", int),
)
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Both transforms in one call: tx-dict rewrite (Pass 4) + Wei rewrite (Pass 9) with auto-import of convert. The whitelist guard verified all keys in the dict (from, value) are valid tx-dict keys before firing — if there had been an extra key like priority_fee (which Brownie supports but Ape doesn't have a direct mapping for), the codemod would have skipped this rewrite to avoid information loss.

5. Network detection

# Before
if network.show_active() == "mainnet-fork":
    fee = HIGH_FEE
else:
    fee = LOW_FEE

# After
if networks.active_provider.network.name == "mainnet-fork":
    fee = HIGH_FEE
else:
    fee = LOW_FEE
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Pass 2b — bare network.show_active() (without brownie. prefix). Required because network was imported directly from brownie.


What the codemod surfaced as TODOs

After the codemod, these are the remaining manual items:

$ grep -rn "TODO(brownie-to-ape)" --include="*.py" .
./conftest.py:8: TODO(brownie-to-ape): no direct Ape equivalent for: Contract
./conftest.py:15: TODO(brownie-to-ape): no direct Ape equivalent for: Strategy
./tests/conftest.py:6: TODO(brownie-to-ape): no direct Ape equivalent for: Vault
./tests/conftest.py:7: TODO(brownie-to-ape): no direct Ape equivalent for: Token
./tests/test_operation.py:2: TODO(brownie-to-ape): preserve_web3 — review whether to migrate to convert(...)
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5 TODOs total — 4 contract-name flags and 1 web3-preserve note.

These cannot be auto-resolved without project schema introspection (the jssg sandbox has no filesystem access, so it can't read contracts/*.sol to find contract names). Each TODO needs a human or AI agent to decide:

  1. Contract flag — decide between ape.Contract(addr) (loads any address with auto-fetched ABI) or use the existing project artifact pattern.
  2. Strategy, Vault, Token flags — these are project-specific contracts. The fix is project.Strategy, project.Vault, project.Token. An AI agent reads the TODO + the surrounding code and applies the right project.<Name> prefix.
  3. preserve_web3 — one test uses web3.eth.get_balance(). The codemod's Pass 16 flagged this as a TODO because the Ape equivalent depends on whether the user wants networks.provider.web3 (raw web3 access) or chain.provider.get_balance() (Ape-native).

The AI/manual cleanup pass

Following the codemod's TODO comments, the AI cleanup edits look like this:

--- a/conftest.py
+++ b/conftest.py
@@ -5,7 +5,7 @@ from ape import accounts, networks, chain, config

 @pytest.fixture
-# TODO(brownie-to-ape): no direct Ape equivalent for: Strategy
 def strategy(gov, vault, strategist):
-    return Strategy.deploy(vault, strategist, sender=gov)
+    return project.Strategy.deploy(vault, strategist, sender=gov)
+
+from ape import project
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The project import is added once at the top of each file that needs it. Total AI/manual cleanup: ~12 lines across 3 files to resolve all 5 TODOs.


What's different vs token-mix

The token-mix migration (companion case study) is a tutorial repo with simple ERC-20 patterns. Yearn's strategy template is more complex in three specific ways:

  1. Multi-network config. The brownie-config.yaml has separate entries for mainnet, mainnet-fork, polygon-main, etc. The Python helper migrate_config.py translates these to ape-config.yaml's networks: block. Result: all 4 network entries translated cleanly with 0 manual edits to the YAML.

  2. Whale impersonation is core, not edge case. Tutorial repos rarely test with real holder addresses. Yearn does this for every operation test. The codemod's Pass 7b (accounts.at(addr, force=True)impersonate_account) fired exactly once per test fixture, and the rewrite is semantically correct because both are doing the same thing under the hood: bypass the chain's "is this account unlocked?" check.

  3. Contract flag is more painful. Yearn's strategy template uses Contract(VAULT_ADDRESS) (for already-deployed yearn vaults) AND Strategy.deploy(...) (for the new strategy). The codemod flags both with the same TODO comment, but the right Ape equivalent differs:

    • Contract(addr)ape.Contract(addr) (this is automatic if from ape import Contract is added)
    • Strategy.deploy(...)project.Strategy.deploy(...) (compile-time project artifact)

An AI cleanup agent reading the surrounding code can disambiguate: if the variable name is an address constant (VAULT_ADDRESS = "0x..."), it's ape.Contract(addr); if it's a contract artifact name being deployed (Strategy.deploy(...)), it's project.Strategy.deploy(...).


Migration coverage scorecard

Following the hackathon scoring formula Score = 100 × (1 − ((FP × wFP) + (FN × wFN)) ÷ (N × (wFP + wFN))):

  • Total patterns visible in the repo (N): ~33 across 7 files
  • Auto-migrated (deterministic): ~28 patterns
  • TODO-flagged (FN, intentional): ~5 patterns (4 contract names + 1 web3 preserve)
  • Incorrect rewrites (FP): 0 — verified by manual diff audit and by running the test suite (post-cleanup)

Auto-coverage: ~85%. Manual-cleanup time: ~5 minutes for someone who's read the codemod's TODO comments and knows Ape's project.X pattern. AI cleanup: even faster since the TODOs are unambiguous.


What this proves

  1. The codemod scales beyond tutorial repos. Yearn's strategy template uses every advanced Brownie idiom (whale impersonation, multi-network config, complex tx-dict shapes, mixed contract types). All of them migrate correctly, with the FN-over-FP design making the remaining manual work trivially identifiable.

  2. The "why we don't auto-rewrite contract names" rationale holds in production code. A codemod that tried to auto-prefix Strategy with project. could break repos where Strategy is imported from elsewhere (a base class, a helper module). Strict scoping requires project schema, which jssg sandboxes deliberately don't have. The TODO approach is the right answer here.

  3. DeFi-specific patterns aren't special. The patterns that look unique to DeFi (whale impersonation, multi-network, mainnet forking) all reduce to standard codemod transforms when broken down. The FP-vs-FN tradeoff is the same for tutorial repos and Yearn.


Reproducibility checklist

To verify these results yourself:

git clone https://github.com/yearn/brownie-strategy-mix.git
cd brownie-strategy-mix

# Apply codemod
npx codemod@latest @pugarhuda/brownie-to-ape -t .

# Inspect result
git diff --stat
grep -rn "TODO(brownie-to-ape)" --include="*.py" .

# Run config translator
python /path/to/brownie-to-ape/scripts/migrate_config.py .
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Expected output: 4 files changed, ~33 patterns rewritten, 5 TODO comments inserted, 0 incorrect changes.

For the full 5-repo benchmark including this one, see the case study repo.


Acknowledgements


Source: github.com/PugarHuda/brownie-to-ape · v0.7.8 · MIT
Codemod registry: @pugarhuda/brownie-to-ape
Related: token-mix end-to-end case study · engineering tradeoffs