// clusteringHandler handles doing the actual k-means clustering.
//
// The return format is JSON of the form:
//
// {
// "Clusters": [
// {
// "Keys": [
// "x86:GeForce320M:MacMini4.1:Mac10.8:GM_varied_text_clipped_no_lcd_640_480:8888",...],
// "ParamSummaries": [
// [{"Value": "Win8", "Weight": 15}, {"Value": "Android", "Weight": 14}, ...]
// ],
// "StepFit": {
// "LeastSquares":0.0006582442047814354,
// "TurningPoint":162,
// "StepSize":0.023272272692293046,
// "Regression": 35.3
// }
// Traces: [[[0, -0.00007967326606768456], [1, 0.011877665949459049], [2, 0.012158129176717419],...]]
// },
// ...
// ],
// "K": 5,
// "StdDevThreshhold": 0.1
// }
//
// Note that Keys contains all the keys, while Traces only contains traces of
// the N closest cluster members and the centroid.
//
// Takes the following query parameters:
//
// _k - The K to use for k-means clustering.
// _stddev - The standard deviation to use when normalize traces
// during k-means clustering.
// _issue - The Rietveld issue ID with trybot results to include.
//
// Additionally the rest of the query parameters as returned from
// sk.Query.selectionsAsQuery().
func clusteringHandler(w http.ResponseWriter, r *http.Request) {
glog.Infof("Clustering Handler: %q\n", r.URL.Path)
tile := masterTileBuilder.GetTile()
w.Header().Set("Content-Type", "application/json")
// If there are no query parameters just return with an empty set of ClusterSummaries.
if r.FormValue("_k") == "" || r.FormValue("_stddev") == "" {
writeClusterSummaries(clustering.NewClusterSummaries(), w, r)
return
}
k, err := strconv.ParseInt(r.FormValue("_k"), 10, 32)
if err != nil {
util.ReportError(w, r, err, fmt.Sprintf("_k parameter must be an integer %s.", r.FormValue("_k")))
return
}
stddev, err := strconv.ParseFloat(r.FormValue("_stddev"), 64)
if err != nil {
util.ReportError(w, r, err, fmt.Sprintf("_stddev parameter must be a float %s.", r.FormValue("_stddev")))
return
}
issue := r.FormValue("_issue")
var tryResults *types.TryBotResults = nil
if issue != "" {
var err error
tryResults, err = trybot.Get(issue)
if err != nil {
util.ReportError(w, r, err, fmt.Sprintf("Failed to get trybot data for clustering."))
return
}
}
delete(r.Form, "_k")
delete(r.Form, "_stddev")
delete(r.Form, "_issue")
// Create a filter function for traces that match the query parameters and
// optionally tryResults.
filter := func(key string, tr *types.PerfTrace) bool {
if tryResults != nil {
if _, ok := tryResults.Values[key]; !ok {
return false
}
}
return tiling.Matches(tr, r.Form)
}
if issue != "" {
if tile, err = trybot.TileWithTryData(tile, issue); err != nil {
util.ReportError(w, r, err, fmt.Sprintf("Failed to get trybot data for clustering."))
return
}
}
summary, err := clustering.CalculateClusterSummaries(tile, int(k), stddev, filter)
if err != nil {
util.ReportError(w, r, err, "Failed to calculate clusters.")
return
}
writeClusterSummaries(summary, w, r)
}
// kernelJSONHandler returns the data needed for displaying Kernel Density Estimates.
//
// The return format is JSON of the form:
//
// {
// "commit1": {
// "key1": 1.234,
// "key2": 1.235,
// "key3": 1.230,
// "key4": 1.239,
// ...
// },
// "commit2": {
// "key1": 1.434,
// "key2": 1.834,
// "key3": 1.234,
// "key4": 1.134,
// ...
// },
// missing: 5, // Number of missing values.
// }
//
// Takes the following query parameters:
//
// commit1 - The hash for the first commit.
// commit2 - The hash for the second commit.
// query - A paramset in URI query format used to filter the results at each commit.
//
func kernelJSONHandler(w http.ResponseWriter, r *http.Request) {
// TODO(jcgregorio) Determine the tile(s) to load based on the commit hashes,
// possibly loading two different tiles, one for each hash.
tile := masterTileBuilder.GetTile()
commit1 := r.FormValue("commit1")
commit2 := r.FormValue("commit2")
// Calulate the indices where the commit falls in the tile.
commit1Index := -1
commit2Index := -1
// Confirm that the two commits appear in the tile.
for i, c := range tile.Commits {
if c.Hash == commit1 {
commit1Index = i
}
if c.Hash == commit2 {
commit2Index = i
}
}
if commit1Index == -1 || commit2Index == -1 {
glog.Warningf("Commits %s[%d] %s[%d]", commit1, commit1Index, commit2, commit2Index)
util.ReportError(w, r, fmt.Errorf("Failed to find commits in tile."), fmt.Sprintf("Failed to find commits in tile."))
return
}
w.Header().Set("Content-Type", "application/json")
query := r.FormValue("query")
q, err := url.ParseQuery(query)
if err != nil {
util.ReportError(w, r, err, fmt.Sprintf("Failed to parse query parameters."))
return
}
ret := struct {
Commit1 map[string]float64 `json:"commit1"`
Commit2 map[string]float64 `json:"commit2"`
Missing int32 `json:"missing"`
}{
Commit1: map[string]float64{},
Commit2: map[string]float64{},
}
for key, tr := range tile.Traces {
if tiling.Matches(tr, q) {
if tr.IsMissing(commit1Index) || tr.IsMissing(commit2Index) {
ret.Missing += 1
continue
}
ret.Commit1[key] = tr.(*types.PerfTrace).Values[commit1Index]
ret.Commit2[key] = tr.(*types.PerfTrace).Values[commit2Index]
}
}
enc := json.NewEncoder(w)
if err := enc.Encode(ret); err != nil {
glog.Errorf("Failed to write or encode output: %s", err)
return
}
}
// GetLastTrimmed returns the last tile as read-only trimmed to contain at
// most NCommits. It caches trimmed tiles as long as the underlying tiles
// do not change.
//
// includeIgnores - If true then include ignored digests in the returned tile.
func (s *Storage) GetLastTileTrimmed(includeIgnores bool) (*tiling.Tile, error) {
// Retieve the most recent tile.
tile := s.MasterTileBuilder.GetTile()
s.mutex.Lock()
defer s.mutex.Unlock()
if s.NCommits <= 0 {
return tile, nil
}
currentIgnoreRev := s.IgnoreStore.Revision()
// Check if the tile hasn't changed and the ignores haven't changed.
if s.lastTrimmedTile != nil && tile == s.lastTrimmedTile && s.lastTrimmedIgnoredTile != nil && currentIgnoreRev == s.lastIgnoreRev {
if includeIgnores {
return s.lastTrimmedTile, nil
} else {
return s.lastTrimmedIgnoredTile, nil
}
}
ignores, err := s.IgnoreStore.List()
if err != nil {
return nil, fmt.Errorf("Failed to get ignores to filter tile: %s", err)
}
// Now copy the tile by value.
retIgnoredTile := tile.Copy()
// Then remove traces that should be ignored.
ignoreQueries, err := ignore.ToQuery(ignores)
if err != nil {
return nil, err
}
for id, tr := range retIgnoredTile.Traces {
for _, q := range ignoreQueries {
if tiling.Matches(tr, q) {
delete(retIgnoredTile.Traces, id)
continue
}
}
}
// Cache this tile.
s.lastIgnoreRev = currentIgnoreRev
s.lastTrimmedTile = tile
s.lastTrimmedIgnoredTile = retIgnoredTile
fmt.Printf("Lengths: %d %d\n", len(s.lastTrimmedTile.Traces), len(s.lastTrimmedIgnoredTile.Traces))
if includeIgnores {
return s.lastTrimmedTile, nil
} else {
return s.lastTrimmedIgnoredTile, nil
}
}
// singleHandler is similar to /query/0/-1/traces?<param filters>, but takes an
// optional commit hash and returns a single value for each trace at that commit,
// or the latest value if a hash is not given or found. The resulting JSON is in
// SingleResponse format that looks like:
//
// {
// "traces": [
// {
// val: 1.1,
// params: {"os: "Android", ...}
// },
// ...
// ],
// "hash": "abc123",
// }
//
func singleHandler(w http.ResponseWriter, r *http.Request) {
glog.Infof("Single Handler: %q\n", r.URL.Path)
handlerStart := time.Now()
match := singleHandlerPath.FindStringSubmatch(r.URL.Path)
if r.Method != "GET" || match == nil || len(match) != 2 {
http.NotFound(w, r)
return
}
if err := r.ParseForm(); err != nil {
util.ReportError(w, r, err, "Failed to parse query params.")
}
hash := match[1]
tileNum, idx, err := git.TileAddressFromHash(hash, time.Time(ingester.BEGINNING_OF_TIME))
if err != nil {
glog.Infof("Did not find hash '%s', use latest: %q.\n", hash, err)
tileNum = -1
idx = -1
}
glog.Infof("Hash: %s tileNum: %d, idx: %d\n", hash, tileNum, idx)
tile, err := getTile(0, tileNum)
if err != nil {
util.ReportError(w, r, err, "Failed retrieving tile.")
return
}
if idx < 0 {
idx = len(tile.Commits) - 1 // Defaults to the last slice element.
}
glog.Infof("Tile: %d; Idx: %d\n", tileNum, idx)
ret := SingleResponse{
Traces: []*SingleTrace{},
Hash: tile.Commits[idx].Hash,
}
for _, tr := range tile.Traces {
if tiling.Matches(tr, r.Form) {
v, err := vec.FillAt(tr.(*types.PerfTrace).Values, idx)
if err != nil {
util.ReportError(w, r, err, "Error while getting value at slice index.")
return
}
t := &SingleTrace{
Val: v,
Params: tr.Params(),
}
ret.Traces = append(ret.Traces, t)
}
}
w.Header().Set("Content-Type", "application/json")
enc := json.NewEncoder(w)
if err := enc.Encode(ret); err != nil {
glog.Errorf("Failed to write or encode output: %s", err)
}
glog.Infoln("Total handler time: ", time.Since(handlerStart).Nanoseconds())
}
// searchTile queries across a tile.
func searchTile(q *Query, e *expstorage.Expectations, parsedQuery url.Values, storages *storage.Storage, tile *tiling.Tile, tallies *tally.Tallies, blamer *blame.Blamer, paramset *paramsets.Summary) ([]*Digest, []*tiling.Commit, error) {
// TODO Use CommitRange to create a trimmed tile.
traceTally := tallies.ByTrace()
lastCommitIndex := tile.LastCommitIndex()
// Loop over the tile and pull out all the digests that match
// the query, collecting the matching traces as you go. Build
// up a set of intermediate's that can then be used to calculate
// Digest's.
// map [test:digest] *intermediate
inter := map[string]*intermediate{}
for id, tr := range tile.Traces {
if tiling.Matches(tr, parsedQuery) {
test := tr.Params()[types.PRIMARY_KEY_FIELD]
// Get all the digests
digests := digestsFromTrace(id, tr, q.Head, lastCommitIndex, traceTally)
for _, digest := range digests {
cl := e.Classification(test, digest)
if q.excludeClassification(cl) {
continue
}
// Fix blamer to make this easier.
if q.BlameGroupID != "" {
if cl == types.UNTRIAGED {
b := blamer.GetBlame(test, digest, tile.Commits)
if q.BlameGroupID != blameGroupID(b, tile.Commits) {
continue
}
} else {
continue
}
}
key := fmt.Sprintf("%s:%s", test, digest)
if i, ok := inter[key]; !ok {
inter[key] = newIntermediate(test, digest, id, tr, digests)
} else {
i.addTrace(id, tr, digests)
}
}
}
}
// Now loop over all the intermediates and build a Digest for each one.
ret := make([]*Digest, 0, len(inter))
for key, i := range inter {
parts := strings.Split(key, ":")
ret = append(ret, digestFromIntermediate(parts[0], parts[1], i, e, tile, tallies, blamer, storages.DiffStore, paramset, q.IncludeIgnores))
}
return ret, tile.Commits, nil
}
// FromTile calculates a Quartiles using the values of the first commit in the given tile,
// using only traces that match the given query 'q'.
func FromTile(tile *tiling.Tile, tilestats *tilestats.TileStats, q url.Values) *Quartiles {
ret := &Quartiles{
TotalTraces: len(tile.Traces),
}
imp := map[string]map[string]string{}
q1 := map[string]map[string]string{}
q2 := map[string]map[string]string{}
q3 := map[string]map[string]string{}
q4 := map[string]map[string]string{}
reg := map[string]map[string]string{}
tilestats.RLock()
defer tilestats.RUnLock()
for traceid, tr := range tile.Traces {
if tiling.Matches(tr, q) {
st, ok := tilestats.TraceStats(traceid)
if !ok {
continue
}
ret.Matches += 1
value := tr.(*types.PerfTrace).Values[0]
iqr := st.Q3 - st.Q1
if value < (st.Q1 - 1.5*iqr) {
imp[traceid] = tr.Params()
} else if value < st.Q1 {
q1[traceid] = tr.Params()
} else if value < st.Q2 {
q2[traceid] = tr.Params()
} else if value < st.Q3 {
q3[traceid] = tr.Params()
} else if value < (st.Q3 + 1.5*iqr) {
q4[traceid] = tr.Params()
} else {
reg[traceid] = tr.Params()
}
} else {
ret.Missing += 1
}
}
ret.Improvements = kmlabel.ClusterAndDescribe(tile.ParamSet, imp, ret.Matches)
ret.Q1 = kmlabel.ClusterAndDescribe(tile.ParamSet, q1, ret.Matches)
ret.Q2 = kmlabel.ClusterAndDescribe(tile.ParamSet, q2, ret.Matches)
ret.Q3 = kmlabel.ClusterAndDescribe(tile.ParamSet, q3, ret.Matches)
ret.Q4 = kmlabel.ClusterAndDescribe(tile.ParamSet, q4, ret.Matches)
ret.Regressions = kmlabel.ClusterAndDescribe(tile.ParamSet, reg, ret.Matches)
return ret
}
// tallyBy does the actual work of ByQuery.
func tallyBy(tile *tiling.Tile, traceTally map[string]Tally, query url.Values) Tally {
ret := Tally{}
for k, tr := range tile.Traces {
if tiling.Matches(tr, query) {
if _, ok := traceTally[k]; !ok {
continue
}
for digest, n := range traceTally[k] {
if _, ok := ret[digest]; ok {
ret[digest] += n
} else {
ret[digest] = n
}
}
}
}
return ret
}
// filterFunc is a Func that returns a filtered set of Traces from the Tile in
// the Context.
//
// It expects a single argument that is a string in URL query format, ala
// os=Ubuntu12&config=8888.
func (FilterFunc) Eval(ctx *Context, node *Node) ([]*types.PerfTrace, error) {
if len(node.Args) != 1 {
return nil, fmt.Errorf("filter() takes a single argument.")
}
if node.Args[0].Typ != NodeString {
return nil, fmt.Errorf("filter() takes a string argument.")
}
query, err := url.ParseQuery(node.Args[0].Val)
if err != nil {
return nil, fmt.Errorf("filter() arg not a valid URL query parameter: %s", err)
}
traces := []*types.PerfTrace{}
for id, tr := range ctx.Tile.Traces {
if tiling.Matches(tr.(*types.PerfTrace), query) {
cp := tr.DeepCopy()
cp.Params()["id"] = tiling.AsCalculatedID(id)
traces = append(traces, cp.(*types.PerfTrace))
}
}
return traces, nil
}
// Search returns a slice of DigestInfo with all the digests that match the given query parameters.
//
// Note that unlike CalcSummaries the results aren't restricted by test name.
// Also note that the result can include positive and negative digests.
func (s *Summaries) Search(query string, includeIgnores bool, head bool, pos bool, neg bool, unt bool) ([]DigestInfo, error) {
t := timer.New("Search:GetLastTileTrimmed")
tile, err := s.storages.GetLastTileTrimmed(includeIgnores)
t.Stop()
if err != nil {
return nil, fmt.Errorf("Couldn't retrieve tile: %s", err)
}
q, err := url.ParseQuery(query)
if err != nil {
return nil, fmt.Errorf("Failed to parse Query in Search: %s", err)
}
t = timer.New("Search:Expectations")
e, err := s.storages.ExpectationsStore.Get()
t.Stop()
if err != nil {
return nil, fmt.Errorf("Couldn't get expectations: %s", err)
}
// Filter down to just the traces we are interested in, based on query.
filtered := map[string]tiling.Trace{}
t = timer.New("Filter Traces")
for id, tr := range tile.Traces {
if tiling.Matches(tr, q) {
filtered[id] = tr
}
}
t.Stop()
traceTally := s.tallies.ByTrace()
// Find all test:digest's in the filtered traces.
matches := map[string]bool{}
t = timer.New("Tally up the filtered traces")
lastCommitIndex := tile.LastCommitIndex()
for id, trace := range filtered {
test := trace.Params()[types.PRIMARY_KEY_FIELD]
if head {
// Find the last non-missing value in the trace.
for i := lastCommitIndex; i >= 0; i-- {
if trace.IsMissing(i) {
continue
} else {
matches[test+":"+trace.(*types.GoldenTrace).Values[i]] = true
break
}
}
} else {
if t, ok := traceTally[id]; ok {
for d, _ := range t {
matches[test+":"+d] = true
}
}
}
}
t.Stop()
// Now create DigestInfo for each test:digest found, filtering out
// digests with that don't match the triage classification.
ret := []DigestInfo{}
for key, _ := range matches {
testDigest := strings.Split(key, ":")
if len(testDigest) != 2 {
glog.Errorf("Invalid test name or digest value: %s", key)
continue
}
test := testDigest[0]
digest := testDigest[1]
class := e.Classification(test, digest)
switch {
case class == types.NEGATIVE && !neg:
continue
case class == types.POSITIVE && !pos:
continue
case class == types.UNTRIAGED && !unt:
continue
}
ret = append(ret, DigestInfo{
Test: test,
Digest: digest,
})
}
return ret, nil
}
// CalcSummaries returns a Summary for each test that matches the given input filters.
//
// testNames
// If not nil or empty then restrict the results to only tests that appear in this slice.
// query
// URL encoded paramset to use for filtering.
// includeIgnores
// Boolean, if true then include all digests in the results, including ones normally hidden
// by the ignores list.
// head
// Only consider digests at head if true.
//
func (s *Summaries) CalcSummaries(testNames []string, query string, includeIgnores bool, head bool) (map[string]*Summary, error) {
defer timer.New("CalcSummaries").Stop()
glog.Infof("CalcSummaries: includeIgnores %v head %v", includeIgnores, head)
t := timer.New("CalcSummaries:GetLastTileTrimmed")
tile, err := s.storages.GetLastTileTrimmed(includeIgnores)
t.Stop()
if err != nil {
return nil, fmt.Errorf("Couldn't retrieve tile: %s", err)
}
q, err := url.ParseQuery(query)
if err != nil {
return nil, fmt.Errorf("Failed to parse Query in CalcSummaries: %s", err)
}
ret := map[string]*Summary{}
t = timer.New("CalcSummaries:Expectations")
e, err := s.storages.ExpectationsStore.Get()
t.Stop()
if err != nil {
return nil, fmt.Errorf("Couldn't get expectations: %s", err)
}
// Filter down to just the traces we are interested in, based on query.
filtered := map[string][]*TraceID{}
t = timer.New("Filter Traces")
for id, tr := range tile.Traces {
name := tr.Params()[types.PRIMARY_KEY_FIELD]
if len(testNames) > 0 && !util.In(name, testNames) {
continue
}
if tiling.Matches(tr, q) {
if slice, ok := filtered[name]; ok {
filtered[name] = append(slice, &TraceID{tr: tr, id: id})
} else {
filtered[name] = []*TraceID{&TraceID{tr: tr, id: id}}
}
}
}
t.Stop()
traceTally := s.tallies.ByTrace()
// Now create summaries for each test using the filtered set of traces.
t = timer.New("Tally up the filtered traces")
lastCommitIndex := tile.LastCommitIndex()
for name, traces := range filtered {
digests := map[string]bool{}
corpus := ""
for _, trid := range traces {
corpus = trid.tr.Params()["source_type"]
if head {
// Find the last non-missing value in the trace.
for i := lastCommitIndex; i >= 0; i-- {
if trid.tr.IsMissing(i) {
continue
} else {
digests[trid.tr.(*types.GoldenTrace).Values[i]] = true
break
}
}
} else {
// Use the traceTally if available, otherwise just inspect the trace.
if t, ok := traceTally[trid.id]; ok {
for k, _ := range t {
digests[k] = true
}
} else {
for i := lastCommitIndex; i >= 0; i-- {
if !trid.tr.IsMissing(i) {
digests[trid.tr.(*types.GoldenTrace).Values[i]] = true
}
}
}
}
}
ret[name] = s.makeSummary(name, e, s.storages.DiffStore, corpus, util.KeysOfStringSet(digests))
}
t.Stop()
return ret, nil
}
// queryHandler handles queries for and about traces.
//
// Queries look like:
//
// /query/0/-1/?arch=Arm7&arch=x86&scale=1
//
// Where they keys and values in the query params are from the ParamSet.
// Repeated parameters are matched via OR. I.e. the above query will include
// anything that has an arch of Arm7 or x86.
//
// The first two path paramters are tile scale and tile number, where -1 means
// the last tile at the given scale.
//
// The normal response is JSON of the form:
//
// {
// "matches": 187,
// }
//
// If the path is:
//
// /query/0/-1/traces/?arch=Arm7&arch=x86&scale=1
//
// Then the response is the set of traces that match that query.
//
// {
// "traces": [
// {
// // All of these keys and values should be exactly what Flot consumes.
// data: [[1, 1.1], [20, 30]],
// label: "key1",
// _params: {"os: "Android", ...}
// },
// {
// data: [[1.2, 2.1], [20, 35]],
// label: "key2",
// _params: {"os: "Android", ...}
// }
// ]
// }
//
// If the path is:
//
// /query/0/-1/traces/?__shortcut=11
//
// Then the traces in the shortcut with that ID are returned, along with the
// git hash at the step function, if the shortcut came from an alert.
//
// {
// "traces": [
// {
// // All of these keys and values should be exactly what Flot consumes.
// data: [[1, 1.1], [20, 30]],
// label: "key1",
// _params: {"os: "Android", ...}
// },
// ...
// ],
// "hash": "a012334...",
// }
//
//
// TODO Add ability to query across a range of tiles.
func queryHandler(w http.ResponseWriter, r *http.Request) {
glog.Infof("Query Handler: %q\n", r.URL.Path)
match := queryHandlerPath.FindStringSubmatch(r.URL.Path)
glog.Infof("%#v", match)
if r.Method != "GET" || match == nil || len(match) != 4 {
http.NotFound(w, r)
return
}
if err := r.ParseForm(); err != nil {
util.ReportError(w, r, err, "Failed to parse query params.")
}
tileScale, err := strconv.ParseInt(match[1], 10, 0)
if err != nil {
util.ReportError(w, r, err, "Failed parsing tile scale.")
return
}
tileNumber, err := strconv.ParseInt(match[2], 10, 0)
if err != nil {
util.ReportError(w, r, err, "Failed parsing tile number.")
return
}
glog.Infof("tile: %d %d", tileScale, tileNumber)
tile := masterTileBuilder.GetTile()
w.Header().Set("Content-Type", "application/json")
ret := &QueryResponse{
Traces: []*tiling.TraceGUI{},
Hash: "",
}
if match[3] == "" {
// We only want the count.
total := 0
for _, tr := range tile.Traces {
if tiling.Matches(tr, r.Form) {
total++
}
}
glog.Info("Count: ", total)
inc := json.NewEncoder(w)
if err := inc.Encode(map[string]int{"matches": total}); err != nil {
glog.Errorf("Failed to write or encode output: %s", err)
return
}
} else {
// We want the matching traces.
shortcutID := r.Form.Get("__shortcut")
if shortcutID != "" {
sh, err := shortcut.Get(shortcutID)
if err != nil {
http.NotFound(w, r)
return
}
if sh.Issue != "" {
if tile, err = trybot.TileWithTryData(tile, sh.Issue); err != nil {
util.ReportError(w, r, err, "Failed to populate shortcut data with trybot result.")
return
}
}
ret.Hash = sh.Hash
for _, k := range sh.Keys {
if tr, ok := tile.Traces[k]; ok {
tg := traceGuiFromTrace(tr.(*types.PerfTrace), k, tile)
if tg != nil {
ret.Traces = append(ret.Traces, tg)
}
} else if tiling.IsFormulaID(k) {
// Re-evaluate the formula and add all the results to the response.
formula := tiling.FormulaFromID(k)
if err := addCalculatedTraces(ret, tile, formula); err != nil {
glog.Errorf("Failed evaluating formula (%q) while processing shortcut %s: %s", formula, shortcutID, err)
}
} else if strings.HasPrefix(k, "!") {
glog.Errorf("A calculated trace is slipped through: (%s) in shortcut %s: %s", k, shortcutID, err)
}
}
} else {
for key, tr := range tile.Traces {
if tiling.Matches(tr, r.Form) {
tg := traceGuiFromTrace(tr.(*types.PerfTrace), key, tile)
if tg != nil {
ret.Traces = append(ret.Traces, tg)
}
}
}
}
enc := json.NewEncoder(w)
if err := enc.Encode(ret); err != nil {
glog.Errorf("Failed to write or encode output: %s", err)
return
}
}
}
// imgInfo returns a populated slice of PolyTestImgInfo based on the filter and
// queryString passed in.
//
// max maybe set to -1, which means to not truncate the response digest slice.
// If sortAgainstHash is true then the result will be sorted in direction 'dir' versus the given 'digest',
// otherwise the results will be sorted in terms of ascending N.
//
// If head is true then only return digests that appear at head.
func imgInfo(filter, queryString, testName string, e types.TestClassification, max int, includeIgnores bool, sortAgainstHash bool, dir string, digest string, head bool) ([]*PolyTestImgInfo, int, error) {
query, err := url.ParseQuery(queryString)
if err != nil {
return nil, 0, fmt.Errorf("Failed to parse Query in imgInfo: %s", err)
}
query[types.PRIMARY_KEY_FIELD] = []string{testName}
t := timer.New("finding digests")
digests := map[string]int{}
if head {
tile, err := storages.GetLastTileTrimmed(includeIgnores)
if err != nil {
return nil, 0, fmt.Errorf("Failed to retrieve tallies in imgInfo: %s", err)
}
lastCommitIndex := tile.LastCommitIndex()
for _, tr := range tile.Traces {
if tiling.Matches(tr, query) {
for i := lastCommitIndex; i >= 0; i-- {
if tr.IsMissing(i) {
continue
} else {
digests[tr.(*types.GoldenTrace).Values[i]] = 1
break
}
}
}
}
} else {
digests, err = tallies.ByQuery(query, includeIgnores)
if err != nil {
return nil, 0, fmt.Errorf("Failed to retrieve tallies in imgInfo: %s", err)
}
}
glog.Infof("Num Digests: %d", len(digests))
t.Stop()
// If we are going to sort against a digest then we need to calculate
// the diff metrics against that digest.
diffMetrics := map[string]*diff.DiffMetrics{}
if sortAgainstHash {
digestSlice := make([]string, len(digests))
for d, _ := range digests {
digestSlice = append(digestSlice, d)
}
var err error
diffMetrics, err = storages.DiffStore.Get(digest, digestSlice)
if err != nil {
return nil, 0, fmt.Errorf("Failed to calculate diffs to sort against: %s", err)
}
}
label := types.LabelFromString(filter)
// Now filter digests by their expectations status here.
t = timer.New("apply expectations")
ret := []*PolyTestImgInfo{}
for digest, n := range digests {
if e[digest] != label {
continue
}
p := &PolyTestImgInfo{
Digest: digest,
N: n,
}
if sortAgainstHash {
p.PixelDiffPercent = diffMetrics[digest].PixelDiffPercent
}
ret = append(ret, p)
}
t.Stop()
if sortAgainstHash {
if dir == "asc" {
sort.Sort(PolyTestImgInfoDiffAscSlice(ret))
} else {
sort.Sort(sort.Reverse(PolyTestImgInfoDiffAscSlice(ret)))
}
} else {
sort.Sort(PolyTestImgInfoSlice(ret))
}
total := len(ret)
if max > 0 && len(ret) > max {
ret = ret[:max]
}
return ret, total, nil
}
// GetLastTrimmed returns the last tile as read-only trimmed to contain at
// most NCommits. It caches trimmed tiles as long as the underlying tiles
// do not change.
//
// includeIgnores - If true then include ignored digests in the returned tile.
func (s *Storage) GetLastTileTrimmed(includeIgnores bool) (*tiling.Tile, error) {
// Get the last (potentially cached) tile.
tile, err := s.TileStore.Get(0, -1)
if err != nil {
return nil, err
}
s.mutex.Lock()
defer s.mutex.Unlock()
if s.NCommits <= 0 {
return tile, err
}
currentIgnoreRev := s.IgnoreStore.Revision()
// Check if the tile hasn't changed and the ignores haven't changed.
if tile == s.lastBaseTile && s.lastTrimmedTile != nil && s.lastTrimmedIgnoredTile != nil && currentIgnoreRev == s.lastIgnoreRev {
if includeIgnores {
return s.lastTrimmedTile, nil
} else {
return s.lastTrimmedIgnoredTile, nil
}
}
ignores, err := s.IgnoreStore.List()
if err != nil {
return nil, fmt.Errorf("Failed to get ignores to filter tile: %s", err)
}
// Build a new trimmed tile and a new trimmed tile with all ingoreable traces removed.
tileLen := tile.LastCommitIndex() + 1
// First build the new trimmed tile.
retTile, err := tile.Trim(util.MaxInt(0, tileLen-s.NCommits), tileLen)
if err != nil {
return nil, err
}
// Now copy the tile by value.
retIgnoredTile := retTile.Copy()
// Then remove traces that should be ignored.
ignoreQueries, err := ignore.ToQuery(ignores)
if err != nil {
return nil, err
}
for id, tr := range retIgnoredTile.Traces {
for _, q := range ignoreQueries {
if tiling.Matches(tr, q) {
delete(retIgnoredTile.Traces, id)
continue
}
}
}
// Cache this tile.
s.lastIgnoreRev = currentIgnoreRev
s.lastTrimmedTile = retTile
s.lastTrimmedIgnoredTile = retIgnoredTile
s.lastBaseTile = tile
fmt.Printf("Lengths: %d %d\n", len(s.lastTrimmedTile.Traces), len(s.lastTrimmedIgnoredTile.Traces))
if includeIgnores {
return s.lastTrimmedTile, nil
} else {
return s.lastTrimmedIgnoredTile, nil
}
}
// Search returns a slice of Digests that match the input query, and the total number of Digests
// that matched the query. It also returns a slice of Commits that were used in the calculations.
func Search(q *Query, storages *storage.Storage, tallies *tally.Tallies, blamer *blame.Blamer, paramset *paramsets.Summary) ([]*Digest, int, []*tiling.Commit, error) {
tile, err := storages.GetLastTileTrimmed(q.IncludeIgnores)
if err != nil {
return nil, 0, nil, fmt.Errorf("Couldn't retrieve tile: %s", err)
}
// TODO Use CommitRange to create a trimmed tile.
parsedQuery, err := url.ParseQuery(q.Query)
if err != nil {
return nil, 0, nil, fmt.Errorf("Failed to parse Query in Search: %s", err)
}
e, err := storages.ExpectationsStore.Get()
if err != nil {
return nil, 0, nil, fmt.Errorf("Couldn't get expectations: %s", err)
}
traceTally := tallies.ByTrace()
lastCommitIndex := tile.LastCommitIndex()
// Loop over the tile and pull out all the digests that match
// the query, collecting the matching traces as you go. Build
// up a set of intermediate's that can then be used to calculate
// Digest's.
// map [test:digest] *intermediate
inter := map[string]*intermediate{}
for id, tr := range tile.Traces {
if tiling.Matches(tr, parsedQuery) {
test := tr.Params()[types.PRIMARY_KEY_FIELD]
// Get all the digests
digests := digestsFromTrace(id, tr, q.Head, lastCommitIndex, traceTally)
for _, digest := range digests {
cl := e.Classification(test, digest)
switch {
case cl == types.NEGATIVE && !q.Neg:
continue
case cl == types.POSITIVE && !q.Pos:
continue
case cl == types.UNTRIAGED && !q.Unt:
continue
}
// Fix blamer to make this easier.
if q.BlameGroupID != "" {
if cl == types.UNTRIAGED {
b := blamer.GetBlame(test, digest, tile.Commits)
if q.BlameGroupID != blameGroupID(b, tile.Commits) {
continue
}
} else {
continue
}
}
key := fmt.Sprintf("%s:%s", test, digest)
if i, ok := inter[key]; !ok {
inter[key] = newIntermediate(test, digest, id, tr, digests)
} else {
i.addTrace(id, tr, digests)
}
}
}
}
// Now loop over all the intermediates and build a Digest for each one.
ret := make([]*Digest, 0, len(inter))
for key, i := range inter {
parts := strings.Split(key, ":")
ret = append(ret, digestFromIntermediate(parts[0], parts[1], i, e, tile, tallies, blamer, storages.DiffStore, paramset, q.IncludeIgnores))
}
sort.Sort(DigestSlice(ret))
fullLength := len(ret)
if fullLength > q.Limit {
ret = ret[0:q.Limit]
}
return ret, fullLength, tile.Commits, nil
}