Source identity
| Field | Recorded value |
|---|---|
| Source type | GitHub source |
| Original record | Janady13/missionmatch / internal/platform/missionclass/labor_test.go |
| Date | Not specified in source |
| Repository | Janady13/missionmatch |
| Revision | 720d47fae476b0d38477ae4401697d372b1ea2bc |
| Branch | feature/opportunity-to-outcome |
| Path or archive member | internal/platform/missionclass/labor_test.go |
| Original SHA-256 | bdb676bea84a7d963c8e3c1ef59796002976a63713e57fa24cabb37933cb17a2 |
| Git blob SHA | db5216146b31718211f020da808eb804af4d47c5 |
| Reading-copy SHA-256 | bdb676bea84a7d963c8e3c1ef59796002976a63713e57fa24cabb37933cb17a2 |
Every recorded occurrence
These 15 records contain identical original source bytes. Their paths and revisions remain part of the archive.
| Original record | Branch or archive | Revision / identifier | Original location |
|---|---|---|---|
| Janady13/missionmatch / internal/platform/missionclass/labor_test.go | feature/opportunity-to-outcome | 720d47fae476b0d38477ae4401697d372b1ea2bc | Open original |
| Janady13/missionmatch / internal/platform/missionclass/labor_test.go | collision-deconfliction | 4ee5a09972608ed89f8377c6665542d5f450f0a6 | Open original |
| Janady13/missionmatch / internal/platform/missionclass/labor_test.go | m5-price-to-win | 41000ad30fff4129fdaf5ec84e15ba14c27d4890 | Open original |
| Janady13/missionmatch / internal/platform/missionclass/labor_test.go | master | 1e9249840a4302ec82e123b9c9cb6f75badea3e4 | Open original |
| Janady13/missionmatch / internal/platform/missionclass/labor_test.go | ws8-teaching-loop | c823f0fb6bb2aba0f39001eb6de96f4000d9321f | Open original |
| Janady13/missionmatch / internal/platform/missionclass/labor_test.go | mag-substrate | b82c7100a492dec67dfd1eda6b3f53def859be35 | Open original |
| Janady13/missionmatch / internal/platform/missionclass/labor_test.go | time-to-fill-survival | b66e1e505863d4f17741a4b9ede73509e45bd6c6 | Open original |
| Janady13/missionmatch / internal/platform/missionclass/labor_test.go | graphrag-foundation | b0ddeb9f633fd138d09309d1a17b7d13bc3a67f7 | Open original |
| Janady13/missionmatch / internal/platform/missionclass/labor_test.go | ws9-bench-ingestion | f585a9ef32fa554663ce1fba9a414a54b6e49cf0 | Open original |
| Janady13/missionmatch / internal/platform/missionclass/labor_test.go | presentation-readiness | eb574acaa29d71ce4d0f852572e87c275c79fdb7 | Open original |
| Janady13/missionmatch / internal/platform/missionclass/labor_test.go | vendor-intelligence | fe9796a19c261951d3f2565206c0c1b5ac294465 | Open original |
| Janady13/missionmatch / internal/platform/missionclass/labor_test.go | ws7-federal-signal | 6a9f6ce9cfb13345ffb47770d4960e7c2d9c17c2 | Open original |
| Janady13/missionmatch / internal/platform/missionclass/labor_test.go | phase2-connectors | e038d4c687aec16f8bd9bc4d907eea14d91f8704 | Open original |
| Janady13/missionmatch / internal/platform/missionclass/labor_test.go | feature/aioe-upgrade | 2178e7298d0e5d9af83afa12402fd587f0ba6ed8 | Open original |
| Janady13/missionmatch / internal/platform/missionclass/labor_test.go | capture-readiness | bae6af7cb2997e819174a9e9cfff5e16067a1975 | Open original |
Recovered source transcript
Download complete source text ↓96 lines · 3.6 KB
package missionclass
import "testing"
// TestClassifyLaborGolden pins ClassifyLabor to the exact labor category set the old inline laborKeywords
// logic in matching/intel.go produced for representative profile headlines. The matcher is a lowercased
// substring match over the same word list, so candidate intelligence output stays byte identical after
// the helper moved here. Results are returned in stable sorted order.
func TestClassifyLaborGolden(t *testing.T) {
cases := []struct {
text string
want []string
}{
// An ISSO headline.
{"Information System Security Officer with ISSM duties", []string{"ISSO"}},
// A cyber headline that hits both the engineer and the SOC analyst words, plus intelligence via sigint.
{"Senior Security Engineer and SOC Analyst, SIGINT background", []string{"Cyber Engineer", "Intelligence Analyst"}},
// A program manager who is also a PMP.
{"Program Manager, PMP certified capture manager", []string{"Program Manager"}},
// A data scientist who does machine learning.
{"Data Scientist focused on machine learning pipelines", []string{"Data Scientist"}},
// A cloud and solutions architect.
{"Cloud Architect and Solutions Architect for AWS", []string{"Cloud Architect"}},
// An all source intelligence analyst.
{"All Source Intelligence Analyst, GEOINT and intel analyst tradecraft", []string{"Intelligence Analyst"}},
// A plain administrative headline matches nothing.
{"General administrative support coordinator", nil},
// Empty text matches nothing.
{"", nil},
}
for _, tc := range cases {
got := ClassifyLabor(tc.text)
if len(got) != len(tc.want) {
t.Fatalf("ClassifyLabor(%q) = %v, want %v", tc.text, got, tc.want)
}
for i := range got {
if got[i] != tc.want[i] {
t.Fatalf("ClassifyLabor(%q) = %v, want %v", tc.text, got, tc.want)
}
}
}
}
// TestClassifyLaborCounts pins ClassifyLaborCounts to its deterministic occurrence count and first matched
// phrase evidence. Count is the literal sum of strings.Count over every matched keyword phrase, so a
// repeated mention counts again and a category named through two phrases counts both. Order follows the
// stable laborKeywords order. The labor mix is mined from genuine text matches only, never fabricated.
func TestClassifyLaborCounts(t *testing.T) {
cases := []struct {
name string
text string
want []LaborHit
}{
{
// Two ISSO mentions: "isso" matches twice. The first matched phrase in the word list is "isso".
name: "repeated isso counts twice",
text: "We need an ISSO and a second ISSO for night shift",
want: []LaborHit{{LCAT: "ISSO", Count: 2, Evidence: "isso"}},
},
{
// A description naming three engineers and two cyber roles. "cyber engineer" hits once, and the
// Intelligence Analyst category is hit by sigint once.
name: "engineer and intel mix",
text: "3 Cyber Engineer staff and 2 SIGINT analysts on the SIGINT desk",
want: []LaborHit{
{LCAT: "Cyber Engineer", Count: 1, Evidence: "cyber engineer"},
{LCAT: "Intelligence Analyst", Count: 2, Evidence: "sigint"},
},
},
{
// A plain administrative headline matches nothing.
name: "no match",
text: "general administrative support services",
want: nil,
},
{
name: "empty",
text: "",
want: nil,
},
}
for _, tc := range cases {
t.Run(tc.name, func(t *testing.T) {
got := ClassifyLaborCounts(tc.text)
if len(got) != len(tc.want) {
t.Fatalf("ClassifyLaborCounts(%q) = %v, want %v", tc.text, got, tc.want)
}
for i := range got {
if got[i] != tc.want[i] {
t.Fatalf("ClassifyLaborCounts(%q)[%d] = %+v, want %+v", tc.text, i, got[i], tc.want[i])
}
}
})
}
}