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Remove the now unused test-infra files.

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XhmikosR 2015-09-06 12:42:39 +03:00
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commit fd00c178c3
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1
.travis.yml
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@ -5,7 +5,6 @@ git:
node_js:
- "0.12"
before_install:
- travis_retry pip install -r test-infra/requirements.txt --user
- rvm install 2.0.0 && rvm use 2.0.0
- "export TRAVIS_COMMIT_MSG=\"$(git log --format=%B --no-merges -n 1)\""
- echo "$TRAVIS_COMMIT_MSG" | grep '\[skip validator\]'; export TWBS_DO_VALIDATOR=$?; true

115
test-infra/README.md
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## What does `s3_cache.py` do?
### In general
`s3_cache.py` maintains a cache, stored in an Amazon S3 (Simple Storage Service) bucket, of a given directory whose contents are considered non-critical and are completely & solely determined by (and should be able to be regenerated from) a single given file.
The SHA-256 hash of the single file is used as the key for the cache. The directory is stored as a gzipped tarball.
All the tarballs are stored in S3's Reduced Redundancy Storage (RRS) storage class, since this is cheaper and the data is non-critical.
`s3_cache.py` itself never deletes cache entries; deletion should either be done manually or using automatic S3 lifecycle rules on the bucket.
Similar to git, `s3_cache.py` makes the assumption that [SHA-256 will effectively never have a collision](https://stackoverflow.com/questions/4014090/is-it-safe-to-ignore-the-possibility-of-sha-collisions-in-practice).
### For Bootstrap specifically
`s3_cache.py` is used to cache the npm packages that our Grunt tasks depend on.
For npm, the `node_modules` directory is cached based on our `npm-shrinkwrap.json` file.
## Why is `s3_cache.py` necessary?
`s3_cache.py` is used to speed up Bootstrap's Travis builds. Installing npm packages used to take up a significant fraction of our total build times. Also, at the time that `s3_cache.py` was written, npm was occasionally unreliable.
Travis does offer built-in caching on their paid plans, but this do-it-ourselves S3 solution is significantly cheaper since we only need caching and not Travis' other paid features.
## Configuration
`s3_cache.py` is configured via `S3Cachefile.json`, which has the following format:
```json
{
"cache-name-here": {
"key": "path/to/file/to/SHA-256/hash/and/use/that/as/the/cache.key",
"cache": "path/to/directory/to/be/cached",
"generate": "shell-command --to run --to regenerate --the-cache $from scratch"
},
...
}
```
`s3_cache.py` will SHA-256 hash the contents of the `key` file and try to fetch a tarball from S3 using the hash as the filename.
If it's unable to fetch the tarball (either because it doesn't exist or there was a network error), it will run the `generate` command. If it was able to fetch the tarball, it will extract it to the `cache` directory.
If it had to `generate` the cache, it will later create a tarball of the `cache` directory and try to upload the tarball to S3 using the SHA-256 hash of the `key` file as the tarball's filename.
## AWS Setup
### Overview
1. Create an Amazon Web Services (AWS) account.
2. Create an Identity & Access Management (IAM) user, and note their credentials.
3. Create an S3 bucket.
4. Set permissions on the bucket to grant the user read+write access.
5. Set the user credentials as secure Travis environment variables.
### In detail
1. Create an AWS account.
2. Login to the [AWS Management Console](https://console.aws.amazon.com).
3. Go to the IAM Management Console.
4. Create a new user (named e.g. `travis-ci`) and generate an access key for them. Note both the Access Key ID and the Secret Access Key.
5. Note the user's ARN (Amazon Resource Name), which can be found in the "Summary" tab of the user browser. This will be of the form: `arn:aws:iam::XXXXXXXXXXXXXX:user/the-username-goes-here`
6. Note the user's access key, which can be found in the "Security Credentials" tab of the user browser.
7. Go to the S3 Management Console.
8. Create a new bucket. For a non-publicly-accessible bucket (like Bootstrap uses), it's recommended that the bucket name be random to increase security. On most *nix machines, you can easily generate a random UUID to use as the bucket name using Python:
```bash
python -c "import uuid; print(uuid.uuid4())"
```
9. Determine and note what your bucket's ARN is. The ARN for an S3 bucket is of the form: `arn:aws:s3:::the-bucket-name-goes-here`
10. In the bucket's Properties pane, in the "Permissions" section, click the "Edit bucket policy" button.
11. Input and submit an IAM Policy that grants the user at least read+write rights to the bucket. AWS has a policy generator and some examples to help with crafting the policy. Here's the policy that Bootstrap uses, with the sensitive bits censored:
```json
{
"Version": "2012-10-17",
"Id": "PolicyTravisReadWriteNoAdmin",
"Statement": [
{
"Sid": "StmtXXXXXXXXXXXXXX",
"Effect": "Allow",
"Principal": {
"AWS": "arn:aws:iam::XXXXXXXXXXXXXX:user/travis-ci"
},
"Action": [
"s3:AbortMultipartUpload",
"s3:GetObjectVersion",
"s3:ListBucket",
"s3:DeleteObject",
"s3:DeleteObjectVersion",
"s3:GetObject",
"s3:PutObject"
],
"Resource": [
"arn:aws:s3:::XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX",
"arn:aws:s3:::XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX/*"
]
}
]
}
```
12. If you want deletion from the cache to be done automatically based on age (like Bootstrap does): In the bucket's Properties pane, in the "Lifecycle" section, add a rule to expire/delete files based on creation date.
13. Install the [`travis` RubyGem](https://github.com/travis-ci/travis): `gem install travis`
14. Encrypt the environment variables:
```bash
travis encrypt --repo twbs/bootstrap "AWS_ACCESS_KEY_ID=XXX"
travis encrypt --repo twbs/bootstrap "AWS_SECRET_ACCESS_KEY=XXX"
travis encrypt --repo twbs/bootstrap "TWBS_S3_BUCKET=XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX"
```
14. Add the resulting secure environment variables to `.travis.yml`.
## Usage
Read `s3_cache.py`'s source code and Bootstrap's `.travis.yml` for how to invoke and make use of `s3_cache.py`.

7
test-infra/S3Cachefile.json
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@ -1,7 +0,0 @@
{
"npm-modules": {
"key": "./npm-shrinkwrap.json",
"cache": "../node_modules",
"generate": "./uncached-npm-install.sh"
}
}

1
test-infra/requirements.txt
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@ -1 +0,0 @@
boto==2.25.0

184
test-infra/s3_cache.py
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@ -1,184 +0,0 @@
#!/usr/bin/env python2.7
# pylint: disable=C0301
from __future__ import absolute_import, unicode_literals, print_function, division
from sys import argv
from os import environ, stat, chdir, remove as _delete_file
from os.path import dirname, basename, abspath, realpath, expandvars
from hashlib import sha256
from subprocess import check_call as run
from json import load, dump as save
from contextlib import contextmanager
from datetime import datetime
from boto.s3.connection import S3Connection
from boto.s3.key import Key
from boto.exception import S3ResponseError
CONFIG_FILE = './S3Cachefile.json'
UPLOAD_TODO_FILE = './S3CacheTodo.json'
BYTES_PER_MB = 1024 * 1024
@contextmanager
def timer():
start = datetime.utcnow()
yield
end = datetime.utcnow()
elapsed = end - start
print("\tDone. Took", int(elapsed.total_seconds()), "second(s).")
@contextmanager
def todo_file(writeback=True):
try:
with open(UPLOAD_TODO_FILE, 'rt') as json_file:
todo = load(json_file)
except (IOError, OSError, ValueError):
todo = {}
yield todo
if writeback:
try:
with open(UPLOAD_TODO_FILE, 'wt') as json_file:
save(todo, json_file)
except (OSError, IOError) as save_err:
print("Error saving {}:".format(UPLOAD_TODO_FILE), save_err)
def _sha256_of_file(filename):
hasher = sha256()
with open(filename, 'rb') as input_file:
hasher.update(input_file.read())
file_hash = hasher.hexdigest()
print('sha256({}) = {}'.format(filename, file_hash))
return file_hash
def _delete_file_quietly(filename):
try:
_delete_file(filename)
except (OSError, IOError):
pass
def mark_needs_uploading(cache_name):
with todo_file() as todo:
todo[cache_name] = True
def mark_uploaded(cache_name):
with todo_file() as todo:
todo.pop(cache_name, None)
def need_to_upload(cache_name):
with todo_file(writeback=False) as todo:
return todo.get(cache_name, False)
def _tarball_size(directory):
kib = stat(_tarball_filename_for(directory)).st_size // BYTES_PER_MB
return "{} MiB".format(kib)
def _tarball_filename_for(directory):
return abspath('./{}.tar.gz'.format(basename(directory)))
def _create_tarball(directory):
print("Creating tarball of {}...".format(directory))
with timer():
run(['tar', '-czf', _tarball_filename_for(directory), '-C', dirname(directory), basename(directory)])
def _extract_tarball(directory):
print("Extracting tarball of {}...".format(directory))
with timer():
run(['tar', '-xzf', _tarball_filename_for(directory), '-C', dirname(directory)])
def download(directory):
mark_uploaded(cache_name) # reset
try:
print("Downloading {} tarball from S3...".format(cache_name))
with timer():
key.get_contents_to_filename(_tarball_filename_for(directory))
except S3ResponseError as err:
mark_needs_uploading(cache_name)
raise SystemExit("Cached {} download failed!".format(cache_name))
print("Downloaded {}.".format(_tarball_size(directory)))
_extract_tarball(directory)
print("{} successfully installed from cache.".format(cache_name))
def upload(directory):
_create_tarball(directory)
print("Uploading {} tarball to S3... ({})".format(cache_name, _tarball_size(directory)))
with timer():
key.set_contents_from_filename(_tarball_filename_for(directory))
print("{} cache successfully updated.".format(cache_name))
mark_uploaded(cache_name)
if __name__ == '__main__':
# Uses environment variables:
# AWS_ACCESS_KEY_ID -- AWS Access Key ID
# AWS_SECRET_ACCESS_KEY -- AWS Secret Access Key
argv.pop(0)
if len(argv) != 2:
raise SystemExit("USAGE: s3_cache.py <download | upload> <cache name>")
mode, cache_name = argv
script_dir = dirname(realpath(__file__))
chdir(script_dir)
try:
with open(CONFIG_FILE, 'rt') as config_file:
config = load(config_file)
except (IOError, OSError, ValueError) as config_err:
print(config_err)
raise SystemExit("Error when trying to load config from JSON file!")
try:
cache_info = config[cache_name]
key_file = expandvars(cache_info["key"])
fallback_cmd = cache_info["generate"]
directory = expandvars(cache_info["cache"])
except (TypeError, KeyError) as load_err:
print(load_err)
raise SystemExit("Config for cache named {!r} is missing or malformed!".format(cache_name))
try:
try:
BUCKET_NAME = environ['TWBS_S3_BUCKET']
except KeyError:
raise SystemExit("TWBS_S3_BUCKET environment variable not set!")
conn = S3Connection()
bucket = conn.lookup(BUCKET_NAME)
if bucket is None:
raise SystemExit("Could not access bucket!")
key_file_hash = _sha256_of_file(key_file)
key = Key(bucket, key_file_hash)
key.storage_class = 'REDUCED_REDUNDANCY'
if mode == 'download':
download(directory)
elif mode == 'upload':
if need_to_upload(cache_name):
upload(directory)
else:
print("No need to upload anything.")
else:
raise SystemExit("Unrecognized mode {!r}".format(mode))
except BaseException as exc:
if mode != 'download':
raise
print("Error!:", exc)
print("Unable to download from cache.")
print("Running fallback command to generate cache directory {!r}: {}".format(directory, fallback_cmd))
with timer():
run(fallback_cmd, shell=True)

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test-infra/uncached-npm-install.sh
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@ -1,15 +0,0 @@
#!/bin/bash
set -e
cd .. # /bootstrap/
cp test-infra/npm-shrinkwrap.json npm-shrinkwrap.json
# npm is flaky, so try multiple times
MAXTRIES=3
TRIES=1
while ! npm install; do
if [ $TRIES -ge $MAXTRIES ]; then
exit 1
fi
TRIES=$(($TRIES + 1))
echo "Retrying npm install (Try $TRIES of $MAXTRIES)..."
done
rm npm-shrinkwrap.json